Pythonic mmWave Toolbox for TI's IWR Radar Sensors
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Updated
Nov 11, 2021 - Python
Pythonic mmWave Toolbox for TI's IWR Radar Sensors
Python program to read and plot the data in real time from the AWR1843 mmWave radar board (MMWAVE SDK 3)
Python program to read and plot the data in real time from the AWR1642 and IWR1642 mmWave radar boards (Texas Instruments).
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
High-fidelity implementation of the IEEE 802.11ad/ay standards in network simulator ns-3
Python program to read and plot the position of the reflected points from the IWR1443 and the AWR1443. It works both with Windows and Raspberry Pi.
RF Genesis: Zero-Shot Generalization of mmWave Sensing through Simulation-Based Data Synthesis and Generative Diffusion Models (SenSys'23)
A sensor fusion approach to the recognition of microgestures.
M. Polese, F. Restuccia, and T. Melodia, "DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks", Proc. of ACM Intl. Symp. on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), July 2021.
API for loading the Coloradar dataset.
TMYTEK general API examples
Learning Environment-aware and hardware-compatible beam-forming codebooks
This tool is to repack the recording generated by the MMWAVECAS-DSP-EVM board in cascade MIMO frames by merging the recording of all radar chips (of the MMWAVECAS-RF-EVM board).
A 3D visualizer based on Python to analyze and validate ns-3 IEEE 802.11ad/ay implementation performance (beamforming training, throughput, SNR)
Script for converting the .dat files coming from the TI mmwaveDemoVisualizer into .csv files
API for loading the RWU dataset.
MMWave calibration tool. This tool would generate the calibration matrices (Coupling calibration, frequency calibration, as well as phase and amplitude calibration)
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