Radar Target Track Tracking
Radar target track tracking system - execute the main_test function for radar data processing, ultimately displaying target trajectories with comprehensive algorithm implementation details.
Radar One-Dimensional Range Profile Imaging Using SBL Algorithm and Kalman Filter Compressed Sensing
Implementation of radar one-dimensional range profile imaging using Sparse Bayesian Learning (SBL) algorithm and Kalman filter-based compressed sensing, followed by comparative analysis of their imaging performance characteristics.
Radar Swerling Target Simulation Code
Implementation of radar simulation code for Swerling target models with MATLAB/Python-based approaches
Radar Clutter Simulation Program Produces Range-Doppler Maps
Radar Clutter Simulation Program Generates Range-Doppler Maps with Signal Processing Implementation
Radar Noise Interference Simulation
MATLAB-based simulation of various radar noise interference types, including electromagnetic signal disturbances and environmental factors
Radar Noise Interference Simulation with MATLAB Implementation
Simulation of radar noise interference techniques featuring comprehensive MATLAB source code for modeling various radar noise types and jamming scenarios
Simulation of Radar Clutter Amplitude with Log-Normal Distribution
This is a simulation program for radar clutter amplitude following a log-normal distribution, with power spectrum conforming to Gaussian distribution characteristics.
Short-Time Fourier Transform (STFT) Source Code Implementation
MATLAB-based source code for Short-Time Fourier Transform, applicable for radar and ultrasonic signal analysis, as well as DSP learning with algorithm implementation details and signal processing techniques
Linear Frequency Modulated (LFM) Signal Simulation for Radar Systems
MATLAB simulation of radar Linear Frequency Modulated (LFM) signals with verified implementation, suitable for beginners in radar signal processing with detailed code-level explanations
Simulation of Radar Noise Signals
This work explores the simulation of radar noise signals, sharing key methodologies and practical implementation approaches through code examples and algorithm explanations.