STM32 code for Electronic Project of EEEE2052 module

Doppler Radar Processing on STM32

A collection of different projects made with GNU Radio that are focusing on communcation and radar systems

An open source tornado path detection tool for first responders, built on NOAA NEXRAD Doppler radar data. Tornado Tracer is being developed to ingest real-time and historical Level II radar scans, detect tornadic rotation signatures algorithmically, and provide actionable path prediction output for emergency response use.

This project combines the outputs from a doppler radar and an RGB-D camera into a single system that can track the distance and velocity of targets from the sensors. This is our senior design capstone project at the VCU College of Engineering.

Open-source Flutter client for FX Pocket chronographs (V2 & D1). Real-time velocity, energy and session stats over BLE. Unofficial / community project, MIT-licensed.

Python toolkit for processing TI mmWave radar raw ADC recordings (.bin) using radar configuration (.cfg). Generates phase signals, RTI heatmaps, XY motion maps, and Doppler GIFs.

Dual-modality contactless vital signs monitor | HB100 Doppler radar (breathing) + webcam rPPG (heart rate) | Arduino + Python | Rs. 1,150 total cost

Tento projekt řeší zásadní problém zabezpečení odlehlé nemovitosti v prostředí, kde běžná PIR čidla, Doppler radary generují nepřijatelné množství falešných poplachů (vítr, listí, pavouci, zvěř). Namísto slepého spoléhání na jeden senzorický princip staví systém na dvoustupňové validaci, jejíž jádro tvoří váhový detektor

CAMP2Ex was a field campaign in the Philippines that studied cloud and radiation properties from airborne and ship-based multi-sensor suite. Here's a sample of some data analysis I did for this project.

24 GHz CW Doppler + FMCW radar detector: STM32F429 + ESP32 + TouchGFX live UI, CMSIS-DSP FFT, FastAPI backend, YOLOv8 angle-of-arrival sensor fusion desktop app. ZHAW PM4 team project.

RTOS-based embedded system for through-wall human detection using microwave Doppler radar and ESP32. Detects micro-movements like breathing and heartbeat in non-line-of-sight environments, enabling applications in search-and-rescue and tactical surveillance.