awr2944-fmcw-radar
A Python research toolkit for TI AWR2944EVM + DCA1000EVM raw ADC radar captures.
This package provides a robust, native direct-capture pipeline that is free from mmWave Studio GUI automation and Lua scripts.
Installation
Install the base package via pip:
pip install awr2944-dca-lab
To include the optional MATLAB viewer bridge dependencies (Windows only), install with the viewer extra:
pip install "awr2944-dca-lab[viewer]"
Prerequisites
This Python package controls and orchestrates external hardware and software. The following are external prerequisites and must be installed separately:
- MATLAB (Required for the
viewercomponent) - TI mmWave SDK tools
- DCA1000 CLI software
Architecture
The production capture chain uses:
- SDK Demo UART CLI for radar configuration
- TI DCA1000 CLI utilities (external dependency) for FPGA initialization
- Native direct UDP capture with zero-copy stream processing and metadata logging
- Sequence/counter validation and DCA depadding
- Canonical ADC cube extraction
- Python DSP and standalone MATLAB viewer
buildMmwsCompatibleShell.m
Historical mmWave Studio GUI automation is available as an optional legacy-mmws dependency extra for compatibility and debugging.
Reference documents
TI PDFs in reference_docs/:
- AWR2944EVM user guide (SPRUJ22C)
- DCA1000 + mmWave Studio raw capture training
- SWRA581B ADC raw data capture app report
- mmwaveSensing FMCW offline viewing deck (radar formulas)
1 maintainer
Metadata
1 maintainer
Release files for awr2944-dca-lab 0.1.0
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