messi-zqy's repositories
CFAR_Lib
This repository is dedicated to the simulation research of constant false alarm rate (CFAR) detection algorithms for millimeter-wave radar. It encompasses various algorithms, including but not limited to mean, ordered statistics, truncated mean, automatic selection, etc.
SIMFNet
A novel multi-domain fusion network based on sample intercorrelation (SIMFNet) is proposed. The first mulitvariate aquatic human activity recognition(AHAR) dataset is collected. We evaluate our proposed model with the-state-of-the-art models on our AHAR dataset and the experimental results verify the effectiveness of our models.
ourDataset_v2_postprocess
ourDataset v2.0 postprocess
ourDataset_v1_postprocess
ourDataset_v1 postprocess
TDMA-MIMO
In this illustration, we implement a TDMA-MIMO-based millimeter-wave radar raw data generation and signal processing stack that can support millimeter-wave radar platforms with different physical array element configurations and antenna emission sequences, as well as information estimation of moving targets, etc.
RadarConfigure
This document serves as a reference guide for the development of single-board millimeter-wave radar based on AWR1243BOOST. To better compatiable with the cascaded radar series, this manual will try to unify the relevant expressions between single-board radar and cascaded radar.
OCULii_EAGLE_Decoder
when ptp sync function is running, generate pointcloud(.pcd/.npz) according to network packets, and name a pointcloud frame as timestamp_unix
Infineon_60GHz_radar
Infineon 60Ghz radar interface and signal processing
sensors_calibration_v1
while building our dataset, we need to calibrate and match camera, camera&lidar, camera&radar
mmwave_radar_speedExtend
mmwave radar velocity deambiguity
OpenRadar
An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars
Calterah_Rhine_60GHz
Caltherah Rhine 60GHz/ FMCW Radar
NXP2018
NXP radar data process 2018 for CAMA
pmcw
pmcw scripts to process PMCW experimental data from PARSAX
LearnPython
以撸代码的形式学习Python