mmwave

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

Pythonic mmWave Toolbox for TI's IWR Radar Sensors

TI mmWave radar ROS driver (with sensor fusion and hybrid)

Python program to read and plot the data in real time from the AWR1843 mmWave radar board (MMWAVE SDK 3)

[mmWave based fmcw radar design files] based on AWR1843 chip operating at 76-GHz to 81-GHz.

Python program to read and plot the data in real time from the AWR1642 and IWR1642 mmWave radar boards (Texas Instruments).

Basic Gesture Recognition Using mmWave Sensor - TI AWR1642

object tracking based on millimeter wave radar

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

High resolution point clouds from mmWave radar

Integrated Sensing and Communication Physical layer (PHY) model of IEEE 802.11ay/bf.

A simple example with how hybrid beamforming is employed at the transmit end of a massive MIMO communications system.

High-fidelity implementation of the IEEE 802.11ad/ay standards in network simulator ns-3

Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0

ESPHome LD2450 mmWave custom external component

RF Genesis: Zero-Shot Generalization of mmWave Sensing through Simulation-Based Data Synthesis and Generative Diffusion Models (SenSys'23)

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.

The project represents the main code for the proposed cross-layer Dynamic sub-array scheduling for 5G applications, in collaboration with Mathworks inc.

Gait Based User Recognition from mmWave Radar Data

ESPHome integration for mmWave Sensors from Seeed Studio