RF Lab Validation & RFML Datasets

RF Signals Simulation Platform

Generate massive labeled IQ datasets and RF scenarios for designing, developing, and validating RF hardware and DSP algorithms.

Book Demo

Platform Overview

Explore the wireless digital twin.

New York

28 GHz urban links through real West Manhattan geometry.

Explore scenario

Strait of Hormuz

Explore synthetic ship radars around Bandar Abbas port.

Explore demo

Kyiv

Real Kyiv terrain and buildings with a fictional drone receiver and interference source.

Explore demo

Mars

Mountainous terrain built for reflections and non-line-of-sight paths.

Explore demo

Automation workflows

Built for developers and automated workflows.

API-driven workflows

Start from the visual interface, then reuse the same scenario structure in repeatable configs and automation-friendly workflows.

View example configuration

{
  "sample_rate": 20.0e6,
  "duration": 10.0,
  "emitters": [
    {
      "id": "tx_01",
      "type": "wideband_fm",
      "center_hz": 2.45e9,
      "bandwidth_hz": 5.0e6,
      "power_dbm": -20
    }
  ],
  "receivers": [
    {
      "id": "rx_01",
      "sample_rate": 20.0e6,
      "rf_band": "2.4-2.5GHz",
      "gain_db": 30
    }
  ],
  "exports": {
    "recording": { "format": "float32" },
    "sigmf": { "enabled": true },
    "project": { "save": true }
  },
  "batch": {
    "count": 128,
    "seed": 20240522,
    "parallel": 8
  }
}

{
  "sample_rate": 20.0e6,
  "duration": 10.0,
  "emitters": [
    {
      "id": "tx_01",
      "type": "wideband_fm",
      "center_hz": 2.45e9,
      "bandwidth_hz": 5.0e6,
      "power_dbm": -20
    }
  ],
  "receivers": [
    {
      "id": "rx_01",
      "sample_rate": 20.0e6,
      "rf_band": "2.4-2.5GHz",
      "gain_db": 30
    }
  ],
  "exports": {
    "recording": { "format": "float32" },
    "sigmf": { "enabled": true },
    "project": { "save": true }
  },
  "batch": {
    "count": 128,
    "seed": 20240522,
    "parallel": 8
  }
}

Automation workflows

Built for developers and automated workflows.

API-driven workflows

Start from the visual interface, then reuse the same scenario structure in repeatable configs and automation-friendly workflows.

Batch-ready generation

Scale scenario variants, seeds, and export settings into large generation runs without rebuilding every case by hand.

Local output organization

Keep recordings, metadata, and project artifacts grouped into traceable output folders for offline processing.

Downstream integration

Feed exported results directly into SDR, DSP, VSG, RFML, and external analysis toolchains.

Validation

Built with validation at every layer.

RFix tests signal generation, scenario behavior, export formats, metadata, and batch workflows so generated recordings can be trusted, audited, and improved.

View validation proof

Sionna

ITU Channel Models

Integration layer

Validation core

RFix

Scenario generation, export paths, metadata packaging, and cross-check workflows.

Testing infrastructure

GNSS-SDR

DSD-FME

BTLE tool

tetra-kit

GNU Radio

GNSS-SDR

DSD-FME

BTLE tool

tetra-kit

GNU Radio

Platform Results

Export usable RF data.

Export recordings, metadata and portable RFix projects for traceable RF workflows.

recording

BINWAVSIGMF

A single recording export can contain the full generated scene: multiple signals, multiple receivers and end-to-end channel behavior.

Sample rateUnlimited

DurationUnlimited

View all parameters

Export Parameters

Sample RateNot Limited

DurationNot Limited

Recording TypeComplex / Real

EndiannessLittle / Big

Supported Numeric Formats

int8uint8int16uint16int32uint32int64uint64float32float64

Platform Results

Export usable RF data.

Export raw IQ recordings, SigMF metadata and portable RFix project files so lab tests and RFML datasets stay traceable.

exports/

NameType

Selected Export

recording

BINWAVSIGMF

A single recording export can contain the full generated scene: multiple signals, multiple receivers and end-to-end channel behavior.

Export Parameters

Sample RateNot Limited

DurationNot Limited

Recording TypeComplex / Real

EndiannessLittle / Big

Supported Numeric Formats

int8uint8int16uint16int32uint32int64uint64float32float64

Q&A

Common questions.

What does RFix generate?

RFix generates labeled RF recordings from configurable RF scenarios. Engineers can define emitters, receivers, interference, channel behavior, terrain-aware placement, and export settings, then use the output for analysis, replay, validation, and downstream toolchains.

Can engineers mass-produce RF data for testing and ML training?

Yes. RFix supports repeatable scenario definitions, batch-oriented generation, and API-driven workflows so teams can create large datasets for receiver testing, regression checks, parameter sweeps, RFML, and ML training.

What does “terrain-aware” mean in RFix?

Terrain-aware means RF assets are placed in a spatial terrain or map environment instead of only in an abstract signal chain. RFix can account for placement, distance, geometry, propagation behavior, and Sionna-based terrain/channel workflows when building scenarios.

Can RFix export data for SDRs or vector signal generators?

Yes. RFix can export raw IQ, WAV-style recordings, SigMF metadata, and portable RFix project files. It can also integrate directly with VSGs through SCPI-style control and with SDR workflows to record, transmit, and configure device settings inside the software.

What kinds of RF nodes are available?

RFix includes many signal types, including radar and communication nodes, plus end-to-end RF artifact nodes for channels, receivers, terrain, analysis, and export. The full list is on the Product page.

What limits recording size?

In the desktop version, recording size is limited mainly by available hard disk space. In the browser version, practical recording size is limited by browser memory and browser runtime/storage constraints.

Evaluate RFix for your RF workflow

Request a desktop evaluation, sample dataset, or validation brief.
We'll route your request to the right technical conversation.

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