SigMF Specification Version 1.2.0

Abstract

SigMF specifies a way to describe sets of recorded digital signal samples with metadata written in JSON. SigMF can be used to describe general information about a collection of samples, the characteristics of the system that generated the samples, features of signals themselves, and the relationship between different recordings.

Copyright Notice

This document is available under the CC-BY-SA License. Copyright of contributions to SigMF are retained by their original authors. All contributions under these terms are welcome.

Table of Contents

Introduction

Sharing sets of recorded signal data is an important part of science and engineering. It enables multiple parties to collaborate, is often a necessary part of reproducing scientific results (a requirement of scientific rigor), and enables sharing data with those who do not have direct access to the equipment required to capture it.

Unfortunately, these datasets have historically not been very portable, and there is not an agreed upon method of sharing metadata descriptions of the recorded data itself. This is the problem that SigMF solves.

By providing a standard way to describe data recordings, SigMF facilitates the sharing of data, prevents the "bitrot" of datasets wherein details of the capture are lost over time, and makes it possible for different tools to operate on the same dataset, thus enabling data portability between tools and workflows.

Conventions Used in this Document

The key words “MUST”, “MUST NOT”, “REQUIRED”, “SHALL”, “SHALL NOT”, “SHOULD”, “SHOULD NOT”, “RECOMMENDED”, “MAY”, and “OPTIONAL” in this document are to be interpreted as described in RFC 2119.

JSON keywords are used as defined in ECMA-404.

Augmented Backus-Naur form (ABNF) is used as defined by RFC 5234 and updated by RFC 7405.

Fields defined as "human-readable", a "string", or simply as "text" SHALL be treated as plaintext where whitespace is significant, unless otherwise specified. Fields defined "human/machine-readable" SHOULD be short, simple text strings without whitespace that are easily understood by a human and readily parsed by software.

Specific keywords with semantic meaning in the context of this specification are capitalized after being introduced (e.g., Recording).

Specification Overview

The SigMF specification fundamentally describes two types of information: datasets, and metadata associated with those datasets. Taken together, a Dataset with its SigMF metadata is a SigMF Recording.

Datasets, for purposes of this specification, are sets of digital measurements generically called samples in this document. The samples can represent any time-varying source of information. They MAY, for example, be digital samples created by digital synthesis or by an Analog-to-Digital Converter. They could also be geolocation coordinates from a GNSS receiver, temperature readings from a thermal sensor, or any other stored digital measurement information.

Metadata describes the Dataset with which it is associated. The metadata includes information meant for the human users of the Dataset, such as a title and description, and information meant for computer applications (tools) that operate on the Dataset.

This specification defines a schema for metadata using a core namespace that is a reserved name and can only be defined by this specification. Other metadata MAY be described by extension namespaces. This specification also defines a model and format for how SigMF data should be stored at-rest (on-disk) using JSON.

SigMF File Types

There are two fundamental filetypes defined by this specification: files with metadata, and the files that contain the Datasets described by the metadata. There are two types of files containing metadata, a SigMF Metadata file, and a SigMF Collection file. There are also two types of Datasets, a SigMF Dataset file, and a Non-Conforming Dataset file, abbreviated as NCD. NCDs are a mechanism to support using valid SigMF metadata to describe data that is not valid SigMF and formatted according to SigMF Dataset requirements.

The primary unit of SigMF is a SigMF Recording, which comprises a Metadata file and the Dataset file it describes. Collections are an optional feature that are used to describe the relationships between multiple Recordings.

Collections and multiple Recordings can be packaged for easy storage and distribution in a SigMF Archive.

Rules for all files:

1. All filetypes MUST be stored in separate files on-disk.

2. It is RECOMMENDED that filenames use hyphens to separate words rather than whitespace or underscores.

Rules for SigMF Metadata files:

1. A Metadata file MUST only describe one Dataset file.

2. A Metadata file MUST be stored in UTF-8 encoding.

3. A Metadata file MUST have a .sigmf-meta filename extension.

4. A Metadata file MUST be in the same directory as the Dataset file it describes.

5. It is RECOMMENDED that the base filenames (not including file extension) of a Recording’s Metadata and Dataset files be identical.

Rules for SigMF Dataset files:

1. The Dataset file MUST have a .sigmf-data filename extension.

Rules for SigMF Non-Conforming Dataset files:

1. The NCD file MUST NOT have a .sigmf-data filename extension.

Rules for SigMF Collection files:

1. The Collection file MUST be stored in UTF-8 encoding.

2. The Collection file MUST have a .sigmf-collection filename extension.

3. The sigmf-collection file MUST be either in the same directory as the Recordings that it references, or in the top-level directory of an Archive (described in later section).

Rules for SigMF Archive files:

1. The Archive MUST use the tar archive format, as specified by POSIX.1-2001.

2. The Archive file’s filename extension MUST be .sigmf.

3. The Archive MUST contain at least one SigMF Recording.

4. The Archive MAY contain one .sigmf-collection file in the top-level directory.

5. SigMF Archives MAY contain additional files (not specified by SigMF), and arbitrary directory structures, but the SigMF files within the Archive MUST adhere to all rules above when the archive is extracted.

SigMF Dataset Format

There are four orthogonal characteristics of sample data: complex or real, floating-point or integer, bit-width, and endianness. The following ABNF rules specify the Dataset formats defined in the Core namespace. Additional Dataset formats MAY be added through extensions.

    dataset-format = (real / complex) ((type endianness) / byte)

    real = "r"
    complex = "c"

    type = floating-point / signed-integer / unsigned-integer
    floating-point = "f32" / "f64"
    signed-integer = "i32" / "i16"
    unsigned-integer = "u32" / "u16"

    endianness = little-endian / big-endian
    little-endian = "\_le"
    big-endian = "\_be"

    byte = "i8" / "u8"

So, for example, the string "cf32_le" specifies "complex 32-bit floating-point samples stored in little-endian", the string "ru16_be" specifies "real unsigned 16-bit samples stored in big-endian", and the string "cu8" specifies "complex unsigned byte".

Only IEEE-754 single-precision and double-precision floating-point types are supported by the SigMF Core namespace. Note that complex data types are specified by the bit width of the individual I/Q components, and not by the total complex pair bitwidth (like Numpy).

The samples SHOULD be written to the Dataset file without separation, and the Dataset file MUST NOT contain any other characters (e.g., delimiters, whitespace, line-endings, EOF characters).

Complex samples MUST be interleaved, with the in-phase component first (i.e., I[0] Q[0] I[1] Q[1] ... I[n] Q[n]). When core:num_channels in the Global Object (described below) indicates that the Recording contains more than one channel, samples from those channels MUST be interleaved in the same manner, with the same index from each channel’s sample serially in the Recording. For example, a Recording with two channels of ri16_le representing real-valued audio data from a stereo Recording and here labeled L for left and R for right, the data MUST appear as L[0] R[0] L[1] R[1] ... L[n] R[n]. The data type specified by core:data_type applies to all channels of data both real and imaginary parts.

SigMF Metadata Format

SigMF metadata fundamentally takes the form of key/value pairs: "namespace:name": value,

Metadata field names in the top level global Object, captures segment Objects, or annotations Objects MUST be of this form. All fields other than those at the top level which contain a : delimiter SHALL only use letters, numbers, and the _ character; all other characters are forbidden. Field names MUST NOT start with a number and MUST NOT not be C++20 or Python 3.10 keywords.

When stored on-disk (at-rest), these rules apply:

1. The Metadata file MUST be written in JSON, as specified by ECMA-404.

2. The entire contents of the Metadata file MUST be contained within a single top-level JSON Object.

3. The top-level Object MUST contain three JSON Objects named global, captures, and annotations.

4. Metadata key/value pairs SHALL NOT be assumed to have carried over between capture or annotation segments. If a name/value pair applies to a particular segment, then it MUST appear in that segment, even if the value is unchanged relative to the previous segment.

All SigMF metadata is defined using the structural concepts of JSON, and when stored on-disk, metadata MUST be proper JSON to be SigMF compliant.

Datatypes

The values in each key/value pair MUST be one of the following datatypes.

Namespaces

Namespaces provide a way to further classify key/value pairs in metadata. This specification defines the core namespace. Only this specification can add fields to the Core namespace.

The goal of the Core namespace is to capture the foundational metadata necessary to work with SigMF data. Some keys within the Core namespace are OPTIONAL, and others are REQUIRED. The REQUIRED fields are those that are minimally necessary to parse and process the Dataset, or that have obvious defaults that are valid. All other fields are OPTIONAL, though they can be strongly RECOMMENDED.

Fields not defined in the Core namespace MAY be defined in extension namespaces. The SigMF specification defines some extension namespaces to provide canonical definitions for commonly needed metadata fields that do not belong in Core. These canonical extension namespaces can be found in the extensions/ directory of the official SigMF repository. Other extension namespaces MAY be defined by the user as needed.

1. An extension namespace MUST be defined in a single file, named meta-syntactically as N.sigmf-ext.md, where N is the name of the extension.

2. A N.sigmf-ext.md file MUST be a Github-Flavored Markdown file stored in UTF-8 encoding.

3. Extensions MUST have version numbers. It is RECOMMENDED that extensions use Semantic Versioning.

4. An extension namespace MAY define new top-level SigMF Objects, key/value pairs, new files, new Dataset formats, or new datatypes.

5. New key/value pairs defined by an extension namespace MUST be defined in the context of a specific SigMF top-level Object - i.e., global, captures, annotations, or a new user-defined Object.

6. It is RECOMMENDED that an extension namespace file follow the structure of the canonical extension namespaces.

Global Object

The global object consists of key/value pairs that provide information applicable to the entire Dataset. It contains the information that is minimally necessary to open and parse the Dataset file, as well as general information about the Recording itself.

datatype

The SigMF Dataset format of the stored samples in the Dataset file. examples : [’cf32_le’, ’ri16_le’] default : cf32_le type : string

sample_rate

The sample rate of the signal in samples per second. minimum : 1 maximum : 1000000000000.0 type : number

author

A text identifier for the author potentially including name, handle, email, and/or other ID like Amateur Call Sign examples : [’Bruce Wayne bruce@waynetech.com’, ’Bruce (K3X)’] type : string

collection

The base filename of a collection with which this Recording is associated. This field is used to indicate that this Recording is part of a SigMF Collection (described later in this document). It is strongly RECOMMENDED that if you are building a Collection, that each Recording referenced by that Collection use this field to associate up to the relevant sigmf-collection file. type : string

dataset

The full filename of the Dataset file this Metadata file describes, used ONLY with Non-Conforming Datasets. If provided, this string MUST be the complete filename of the Dataset file, including the extension. The Dataset file must be in the local directory, and this string MUST NOT include any aspects of filepath other than the filename. If a Recording does not have this field, it MUST have a compliant SigMF Dataset (NOT a Non-Conforming Dataset) which MUST use the same base filename as the Metadata file and use the .sigmf-data extension. If a SigMF Recording or Archive is renamed this field MUST also be updated, because of this it is RECOMMENDED that Compliant SigMF Recordings avoid use of this field. This field SHOULD NOT be used in conjunction the core:metadata_only field. If both fields exist and the file specified by core:dataset exists, then core:metadata_only SHOULD be ignored by the application. type : string

data_doi

The registered DOI (ISO 26324) for a Recording’s Dataset file. type : string

description

A text description of the SigMF Recording. type : string

hw

A text description of the hardware used to make the Recording. type : string

license

A URL for the license document under which the Recording is offered. (RFC 3986) examples : [’https://creativecommons.org/licenses/by-sa/4.0/’] format : uri type : string

metadata_only

Indicates the Metadata file is intentionally distributed without the Dataset. This field should be defined and set to true to indicate that the Metadata file is being distributed without a corresponding .sigmf-data file. This may be done when the Dataset will be generated dynamically from information in the schema, or because just the schema is sufficient for the intended application. A metadata only distribution is not a SigMF Recording. If a Compliant SigMF Recording uses this field, it MAY indicate that the Dataset was dynamically generated from the metadata. This field MAY NOT be used in conjunction with Non-Conforming Datasets or the core:dataset field. type : boolean

meta_doi

The registered DOI (ISO 26324) for a Recording’s Metadata file. type : string

num_channels

Total number of interleaved channels in the Dataset file; if omitted this is implied to be 1. For multiple channels of IQ data, it is RECOMMENDED to use SigMF Collections instead of num_channels for widest application support. default : 1 minimum : 1 maximum : 1000 type : integer

offset

The index number of the first sample in the Dataset. If not provided, this value defaults to zero. Typically used when a Recording is split over multiple files. All sample indices in SigMF are absolute, and so all other indices referenced in metadata for this recording SHOULD be greater than or equal to this value. default : 0 minimum : 0 maximum : 18446744073709552000 type : integer

recorder

The name of the software used to make this SigMF Recording. type : string

sha512

The SHA512 hash of the Dataset file associated with the SigMF file. type : string

trailing_bytes

The number of bytes to ignore at the end of a Dataset, used ONLY with Non-Conforming Datasets. This field is used with Non-Conforming Datasets to indicate some number of bytes that trail the sample data in the NCD file that should be ignored for processing. This can be used to ignore footer data in non-SigMF filetypes. type : integer minimum : 0 maximum : 18446744073709552000

version

The version of the SigMF specification used to create the Metadata file, in the format X.Y.Z type : string

geolocation

The location of the recording system, as a single RFC 7946 GeoJSON point Object using the convention defined by RFC 5870. Per the GeoJSON specification, the point coordinates use the WGS84 coordinate reference system and are longitude, latitude (REQUIRED, in decimal degrees), and altitude (OPTIONAL, in meters above the WGS84 ellipsoid) - in that order. An example including the altitude field is shown below:

 "global": {
   ...
   "core:geolocation": {
     "type": "Point",
     "coordinates": [-107.6183682, 34.0787916, 2120.0]
   }
   ...
 } 

GeoJSON permits the use of *Foreign Members* in GeoJSON documents per RFC 7946 Section 6.1. Because the SigMF requirement for the geolocation field is to be a valid GeoJSON point Object, users MAY include *Foreign Member* fields here for user-defined purposes (position valid indication, GNSS SV counts, dillution of precision, accuracy, etc). It is strongly RECOMMENDED that all fields be documented in a SigMF Extension document. *Note:* Objects named geometry or properties are prohibited Foreign Members as specified in RFC 7946 Section 7.1. type : object required : [’type’, ’coordinates’] properties : {’type’: {’type’: ’string’, ’enum’: [’Point’]}, ’coordinates’: {’type’: ’array’, ’minItems’: 2, ’items’: {’type’: ’number’}}, ’bbox’: {’type’: ’array’, ’minItems’: 4, ’items’: {’type’: ’number’}}}

extensions

The core:extensions field in the Global Object is an array of extension objects that describe SigMF extensions. Extension Objects MUST contain the three key/value pairs defined below, and MUST NOT contain any other fields.

In the example below, extension-01 is optional, so the application may ignore it if it does not support extension-01. But extension-02 is not optional, so the application must support extension-02 in order to parse the Recording.

"global": {
     ...
     "core:extensions" : [
         {
         "name": "extension-01",
         "version": "0.0.5",
         "optional": true
         },
         {
         "name": "extension-02",
         "version": "1.2.3",
         "optional": false
         }
     ]
     ...
 }

type : array default : []

Captures Array

The captures value is an array of capture segment objects that describe the parameters of the signal capture. It MUST be sorted by the value of each capture segment’s core:sample_start key, ascending. Capture Segment Objects are composed of key/value pairs, and each Segment describes a chunk of samples that can be mapped into memory for processing. Each Segment MUST contain a core:sample_start key/value pair, which indicates the sample index relative to the Dataset where this Segment’s metadata applies. The fields that are described within a Capture Segment are scoped to that Segment only and need to be explicitly declared again if they are valid in subsequent Segments.

sample_start

Index of first sample of this chunk. This field specifies the sample index where this Segment takes effect relative to the recorded Dataset file. If the Dataset is a SigMF Dataset file, this field can be immediately mapped to physical disk location since conforming Datasets only contain sample data. default : 0 minimum : 0 maximum : 18446744073709552000 type : integer

datetime

An ISO-8601 string indicating the timestamp of the sample index specified by sample_start. This key/value pair MUST be an ISO-8601 string, as defined by [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt), where the only allowed time-offset is Z, indicating the UTC/Zulu timezone. The ABNF description is:

 date-fullyear   = 4DIGIT 
 date-month      = 2DIGIT  ; 01-12 
 date-mday       = 2DIGIT  ; 01-28, 01-29, 01-30, 01-31 based on month/year 

 time-hour       = 2DIGIT  ; 00-23 
 time-minute     = 2DIGIT  ; 00-59 
 time-second     = 2DIGIT  ; 00-58, 00-59, 00-60 based on leap second rules 

 time-secfrac    = "." 1*DIGIT 
 time-offset     = "Z" 

 partial-time    = time-hour ":" time-minute ":" time-second [time-secfrac] 
 full-date       = date-fullyear "-" date-month "-" date-mday 
 full-time       = partial-time time-offset 

 date-time       = full-date "T" full-time 

Thus, timestamps take the form of YYYY-MM-DDTHH:MM:SS.SSSZ, where any number of digits for fractional seconds is permitted. examples : [’1955-11-05T14:00:00.000Z’] type : string

frequency

The center frequency of the signal in Hz. type : number minimum : -1000000000000.0 maximum : 1000000000000.0 examples : [915000000.0, 2400000000.0]

global_index

The index of the sample referenced by sample_start relative to an original sample stream. The entirety of which may not have been captured in a recorded Dataset. If omitted, this value SHOULD be treated as equal to sample_start. For example, some hardware devices are capable of ’counting’ samples at the point of data conversion. This sample count is commonly used to indicate a discontinuity in the datastream between the hardware device and processing. For example, in the below Captures array, there are two Segments describing samples in a SigMF Dataset file. The first Segment begins at the start of the Dataset file. The second segment begins at sample index 500 relative to the recorded samples (and since this is a conforming SigMF Dataset, is physically located on-disk at location sample_start * sizeof(sample)), but the global_index reports this was actually sample number 1000 in the original datastream, indicating that 500 samples were lost before they could be recorded.

 ...
 "captures": [ 
    { 
        "core:sample\_start": 0, 
        "core:global\_index": 0 
    }, 
    { 
        "core:sample\_start": 500, 
        "core:global\_index": 1000 
    }
 ],
 ... 

type : integer minimum : 0 maximum : 18446744073709552000

header_bytes

The number of bytes preceding a chunk of samples that are not sample data, used for NCDs. This field specifies a number of bytes that are not valid sample data that are physically located at the start of where the chunk of samples referenced by this Segment would otherwise begin. If omitted, this value SHOULD be treated as equal zero. If included, the Dataset is by definition a Non-Conforming Dataset. For example, the below Metadata for a Non-Conforming Dataset contains two segments describing chunks of 8-bit complex samples (2 bytes per sample) recorded to disk with 4-byte headers that are not valid for processing. Thus, to map these two chunks of samples into memory, a reader application would map the 500 samples (equal to 1000 bytes) in the first Segment, starting at a file offset of 4 bytes, and then the remainder of the file through EOF starting at a file offset of 1008 bytes (equal to the size of the previous Segment of samples plus two headers).

 { 
 "global": { 
    "core:datatype": "cu8", 
    "core:version": "1.2.0", 
    "core:dataset": "non-conforming-dataset-01.dat" 
 }, 
 "captures": [ 
    { 
        "core:sample\_start": 0, 
        "core:header\_bytes": 4, 
    }, 
    { 
        "core:sample\_start": 500, 
        "core:header\_bytes": 4, 
    }
 ],
 "annotations": []
 } 

type : integer minimum : 0 maximum : 18446744073709552000

Annotations Array

The annotations value is an array of annotation segment objects that describe anything regarding the signal data not part of the Captures and Global objects. It MUST be sorted by the value of each Annotation Segment’s core:sample_start key, ascending. Annotation segment Objects contain key/value pairs and MUST contain a core:sample_start key/value pair, which indicates the first index at which the rest of the Segment’s key/value pairs apply. There is no limit to the number of annotations that can apply to the same group of samples. If two annotations have the same sample_start, there is no defined ordering between them. If sample_count is not provided, it SHOULD be assumed that the annotation applies from sample_start through the end of the Dataset, in all other cases sample_count MUST be provided.

sample_start

The sample index at which this Segment takes effect. default : 0 minimum : 0 maximum : 18446744073709552000 type : integer

sample_count

The number of samples that this Segment applies to. type : integer minimum : 0 maximum : 18446744073709552000

freq_lower_edge

The frequency (Hz) of the lower edge of the feature described by this annotation. The freq_lower_edge and freq_upper_edge fields SHOULD be at RF if the feature is at a known RF frequency. If there is no known center frequency (as defined by the frequency field in the relevant Capture Segment Object), or the center frequency is at baseband, the freq_lower_edge and freq_upper_edge fields SHOULD be relative to baseband. It is REQUIRED that both freq_lower_edge and freq_upper_edge be provided, or neither; the use of just one field is not allowed. type : number minimum : -1000000000000.0 maximum : 1000000000000.0

freq_upper_edge

The frequency (Hz) of the upper edge of the feature described by this annotation. type : number minimum : -1000000000000.0 maximum : 1000000000000.0

label

A short form human/machine-readable label for the annotation. The label field MAY be used for any purpose, but it is RECOMMENDED that it be limited to no more than 20 characters as a common use is a short form GUI indicator. Similarly, it is RECOMMENDED that any user interface making use of this field be capable of displaying up to 20 characters. type : string

comment

A human-readable comment, intended to be used for longer comments (it is recommended to use label for shorter text). type : string

generator

Human-readable name of the entity that created this annotation. type : string

uuid

RFC-4122 unique identifier. format : uuid type : string

SigMF Collection Format

The sigmf-collection file contains metadata in a single top-level Object called a collection. The Collection Object contains key/value pairs that describe relationships between SigMF Recordings.
The Collection Object associates SigMF Recordings together by specifying SigMF Recording Objects in the core:streams JSON array. Each Object describes a specific associated SigMF Recording.
The following rules apply to SigMF Collections:

1. The Collection Object MUST be the only top-level Object in the file.

2. Keys in the Collection Object SHOULD use SigMF Recording Objects when referencing SigMF Recordings.

3. SigMF Recording Objects MUST contain both a name field, which is the base-name of a SigMF Recording, and a hash which is the SHA512 hash of the Recording Metadata file [base-name].sigmf-meta.

4. SigMF Recording Objects MUST appear in a JSON array.
Example top-level.sigmf-collection file:

{
"collection": {
      "core:version": "1.2.0",
      "core:extensions" : [
          {
              "name": "antenna",
              "version": "1.0.0",
              "optional": true
          }
      ],
      "antenna:hagl": 120,
      "antenna:azimuth\_angle": 98,
      "core:streams": [
          {
             "name": "example-channel-0-basename",
             "hash": "b4071db26f5c7b0c70f5066eb9bc3a8b506df0f5af09991ba481f63f97f7f48e9396584bc1c296650cd3d47bc4ad2c5b72d2561078fb6eb16151d2898c9f84c4"
                  },
          {
             "name": "example-channel-1-basename",
             "hash": "7132aa240e4d8505471cded716073141ae190f763bfca3c27edd8484348d6693d0e8d3427d0bf1990e687a6a40242d514e5d1995642bc39384e9a37a211655d7"
                  }
              ]
  }
}

version

The version of the SigMF specification used to create the Collection file. examples : [’1.2.0’] type : string

description

A text description of the SigMF Collection. default : type : string

author

A text identifier for the author potentially including name, handle, email, and/or other ID like Amateur Call Sign. default : examples : [’Bruce Wayne bruce@waynetech.com’, ’Bruce (K3X)’] type : string

collection_doi

The registered DOI (ISO 26324) for a Collection. default : type : string

license

A URL for the license document under which this Collection metadata is offered. default : examples : [’https://creativecommons.org/licenses/by-sa/4.0/’] type : string

extensions

The core:extensions field in the Global Object is an array of extension objects that describe SigMF extensions. Extension Objects MUST contain the three key/value pairs defined in Table (FIX REF), and MUST NOT contain any other fields. default : [] type : array

streams

An ordered array of SigMF Recording Tuples, indicating multiple recorded streams of data (e.g., channels from a phased array). default : [] type : array

SigMF Recording Objects

SigMF Recording Objects reference the base-name of the SigMF Recording and the SHA512 hash of the Metadata file, and SHOULD BE specified as a JSON Object:

  {
    "name": "example-channel-0-basename",
    "hash": "b4071db26f5c7b0c70f5066eb9..."
  }

Recording Tuples are also permitted and have a similar form. The order of the tuple: [name, hash] is REQUIRED when using tuples:

  ["example-channel-0-basename", "b4071db26f5c7b0c70f5066e..."]

Tuples will be removed in SigMF version 2.0, so JSON Objects are RECOMMENDED. Additional optional user fields MAY be added to SigMF Recording Objects if they are defined in a compliant SigMF extension. Additional fields are NOT permitted in tuples.

Licensing

Open licenses are RECOMMENDED but you can specify any license. You can refer to resources provided by the Open Data Commons when deciding which open license fits your needs best. Cornell University has also created a guide to help you make these choices.

SigMF Compliance

The term ’SigMF Compliant’ is used throughout this document, which can take on one of several contextually dependent meanings. In order for a schema, Recording, or application to be ’SigMF Compliant’, specific conditions MUST be met, outlined in the following sections. Provided the below criteria are met, an application or Recording can indicate that it is ’SigMF Compliant’.

SigMF Schema Compliance

In order to be ’SigMF Compliant’, a schema MUST meet the following requirements:

1. Adheres to and supports the metadata file naming conventions, objects, namespaces, and names specified by this document.

2. MUST contain all REQUIRED fields with the correct datatype listed the core namespace, and any namespace listed in the extensions array.

3. MUST NOT contain fields that are not outlined in the core or a listed extensions namespace.

SigMF Recording Compliance

In order to be ’SigMF Compliant’, a Recording MUST meet the following requirements:

1. The Recording’s schema file MUST be SigMF Compliant.

2. Adheres to and supports the file naming conventions and Dataset formats specified in this document.

3. Stores data using the on-disk representation described by the datatype.

Recordings with Non-Conforming Datasets MAY have SigMF Compliant schema, but cannot be SigMF Compliant Recordings.

SigMF Collection Compliance

In order to be ’SigMF Compliant’, a Collection must meet the following requirements:

1. The collection MUST contain only compliant Recordings.

2. The Collection Object MUST only contain SigMF key/value pairs provided by the core specification or a compliant SigMF extension.

SigMF Application Compliance

In order to be ’SigMF Compliant’, an application MUST meet the following requirements:

1. Is capable of parsing and loading SigMF Compliant Recordings. Support for SigMF Collections and Archives is RECOMMENDED but not REQUIRED.

2. Adheres to and supports the file rules, Dataset formats, objects, namespaces, and names specified by this document.

3. MUST be able to ignore any object or namespace not specified by this document and still function normally.

4. Capture Segments referring to non-existent samples SHOULD be ignored.

5. MUST treat consecutive Capture Segments whose metadata is equivalent for purposes of that application (i.e., it may be different in values ignored by the application such as optional values or unknown extensions) as it would a single segment.

6. MUST support parsing ALL required fields in the core namespace, and defines which optional fields are used by the application.

7. MUST define which extensions are supported, parses ALL required fields in listed extension namespaces, and defines which optional fields are used. This definition can be in user documentation or within the code itself, though explicit documentation is RECOMMENDED.

8. Support for ALL SigMF Datatypes is NOT REQUIRED as certain datatypes may not make sense for a particular application, but Compliant applications MUST define which datatypes are supported, and be capable of loading Compliant Recordings using supported datatypes.

Compliant applications are NOT REQUIRED to support Non-Conforming Datasets or Metadata Only schema files, but it is RECOMMENDED that they parse the respective metadata fields in the global Object to provide descriptive messages to users regarding why the files are not supported.

Support for SigMF Collections is OPTIONAL for SigMF Compliant applications, however it is RECOMMENDED that applications implementing SigMF make use of Collections when appropriate for interoperability and consistency.

Citing SigMF

To cite the SigMF specification, we recommend the following format:

The Signal Metadata Format (SigMF), <release>, <date of release>, https://sigmf.org

Acknowledgements

This specification originated at the DARPA Brussels Hackfest 2017.

Extensions

Antenna

The following names are specified in the antenna namespace and should be used in the global object:

antenna:model

Antenna make and model number. E.g. ARA CSB-16, L-com HG3512UP-NF. type : string

antenna:type

Antenna type. E.g. dipole, biconical, monopole, conical monopole type : string

antenna:low_frequency

Low frequency of operational range, in Hz. type : number

antenna:high_frequency

High frequency of operational range, in Hz. type : number

antenna:gain

Antenna gain in direction of maximum radiation or reception, in units of dBi. type : number

antenna:horizontal_gain_pattern

Antenna gain pattern in horizontal plane from 0 to 359 degrees in 1 degree steps, in units of dBi. type : array

antenna:vertical_gain_pattern

Antenna gain pattern in vertical plane from -90 to +90 degrees in 1 degree steps, in units of dBi. type : array

antenna:horizontal_beam_width

Horizontal 3-dB beamwidth, in degrees. type : number

antenna:vertical_beam_width

Vertical 3-dB beamwidth, in degrees. type : number

antenna:cross_polar_discrimination

Cross-polarization discrimination. type : number

antenna:voltage_standing_wave_ratio

Voltage standing wave ratio, in units of volts. type : number

antenna:cable_loss

Cable loss for cable connecting antenna and preselector, in dB. type : number

antenna:steerable

Defines if the antenna is steerable or not. type : boolean

antenna:mobile

Defines if the antenna is mobile or not. type : boolean

antenna:hagl

Antenna phase center height above ground level, in meters. type : number

The following names are specified in the antenna namespace and should be used in the annotations object:

antenna:azimuth_angle

Angle of main beam in azimuthal plane from North, in degrees. type : number

antenna:elevation_angle

Angle of main beam in elevation plane from horizontal, in degrees. type : number

antenna:polarization

E.g. "vertical", "horizontal", "slant-45", "left-hand circular", "right-hand circular". type : string

The following fields are specificed in SigMF Collections:

antenna:azimuth_angle

Angle of main beam in azimuthal plane from North, in degrees. type : number

antenna:elevation_angle

Angle of main beam in elevation plane from horizontal, in degrees. type : number

antenna:hagl

Nominal antenna phase center height above ground level, in meters. type : number