Explore MATLAB source code curated for "匹配滤波" with clean implementations, documentation, and examples.
CR's common physical layer detection algorithms include: matched filter detection, energy detection, and cyclostationary feature detection, with implementation considerations for each approach.
This project provides comprehensive MATLAB source code for analyzing linear frequency modulated (LFM) signal spectra and implementing matched filtering techniques, featuring detailed algorithm descriptions and performance optimization approaches.
This document reports on radar systems implementing pulse compression through matched filtering with a sampling frequency of fs=420MHz, simulating radar echoes, and plotting pulse compression waveforms before and after Hamming window application. Additionally explores Dechirp-based pulse compression with reference distance at (0,0), 10MHz sampling frequency, and 512 range sampling points, including waveform comparisons with/without Hamming window.
Matched Filtering and Windowing Techniques for Linear Frequency Modulation Signals
Comprehensive coverage of different spectrum sensing methodologies with algorithm explanations and implementation considerations for cognitive radio systems