Moving Target Detection Using DPCA Algorithm
Implementation of moving target detection based on DPCA (Dual-Perspective Correspondence Analysis) algorithm with practical applications in surveillance and robotics.
Explore MATLAB source code curated for "动目标检测" with clean implementations, documentation, and examples.
Implementation of moving target detection based on DPCA (Dual-Perspective Correspondence Analysis) algorithm with practical applications in surveillance and robotics.
This implementation of moving target detection in sea clutter environment is outstanding, self-developed and highly practical, featuring advanced signal processing algorithms for maritime target recognition.
Radar System Simulation with Pulse Compression and MTI/MTD Processing for 16 Pulse Signals
Implementation of pulse compression for linear frequency modulated signals, moving target detection, and moving target indication techniques - comprehensive radar signal processing program with MATLAB/Python code examples
This code implements a shipborne phased array radar method for moving target detection in sea clutter backgrounds. The solution delivers stable performance with significant clutter suppression and effective target signal extraction. The implementation includes key algorithms like Doppler processing and adaptive filtering techniques, making it a valuable learning resource for researchers in radar signal processing.
Detailed MATLAB source code implementation featuring Moving Target Indication (MTI) and Moving Target Detection (MTD) algorithms with signal processing workflows
Dynamic Target Detection with DPCA Algorithm - Implementation and Technical Overview