A Simulink Simulation Model for Radar Systems
This resource provides a Simulink simulation model for radar systems, designed to help users better understand radar principles and applications, with enhanced code implementation details.
Radar and Infrared Integrated Tracking System
This documentation provides detailed implementation of tracking algorithms combining radar and infrared data, featuring comprehensive code examples suitable for beginners and intermediate developers
DOA Estimation (Direction of Arrival Estimation) in Radar Systems
DOA estimation (Direction of Arrival estimation) stands as a fundamental theory in radar technology. This resource provides MATLAB source code implementations for DOA estimation based on the MUSIC (Multiple Signal Classification) algorithm and the Maximum Entropy Method. The code includes practical implementations with array signal processing techniques, parameter configuration options, and performance evaluation capabilities. These simulation tools were developed during my research and can be used for analyzing and testing various radar system configurations.
Time Delay Beamforming
Time delay beamforming, widely used in sonar and radar applications, creates spatial directivity patterns and achieves spatial filtering through signal processing algorithms
SVM-Based Target Recognition Algorithm for Radar High-Resolution Range Profiles
This support vector machine (SVM)-based radar target recognition algorithm for high-resolution range profiles (HRRP) delivers exceptional resolution performance, with implementations featuring robust feature extraction and classification pipelines.
One-Dimensional Range Profile Radar and Its Implementation for Target Type Recognition
Code Implementation of One-Dimensional Range Profile Radar System for Target Classification and Identification
Simulation of Distributed Spaceborne Interferometric GMTI Radar Systems
Performance analysis of a space-based GMTI radar system employing separated spacecraft interferometry, with focus on system modeling and algorithmic implementation
Classification Based on Jamming Signal Waveforms
According to different jamming signal waveforms, suppressive jamming can be categorized into noise amplitude modulation jamming, noise frequency modulation jamming, and noise phase modulation jamming. These techniques use noise or noise-like signals to mask or overwhelm useful signals, preventing radar systems from detecting target information. The fundamental principle is that all radar systems operate with inherent external and internal noise, and target detection occurs within this noisy environment based on specific probability criteria.
Radar Detection Processing Simulation
Radar detection processing simulation program incorporating noise background detection, fluctuating target detection, calculation of detection probability and false alarm probability, implemented through statistical signal processing algorithms.
Radar Pulse Compression Simulation with GUI and Source Code
Radar pulse compression simulation program featuring GUI development source code, one-dimensional range profile generation, matched filtering, and comparative illustrations of various windowing functions with MATLAB implementation examples