Radar Pulse Compression Simulation
Implementation of dechirp processing technique and simulation of fast convolution methods for radar signal processing
Explore MATLAB source code curated for "脉冲压缩" with clean implementations, documentation, and examples.
Implementation of dechirp processing technique and simulation of fast convolution methods for radar signal processing
Simulation of linear frequency modulated (LFM) signals using matched filtering for pulse compression, with analysis of first-order, second-order, third-order, fourth-order, and random phase error impacts on signal processing performance.
Comprehensive simulation of radar signal processing including LFM signal generation, pulse compression techniques, coherent integration methods, and MTI processing implementation
Detection of radar echo signals using LFM signals, pulse compression, MTD, coherent integration, long-term integration, addressing range migration and velocity ambiguity
SAR Linear Frequency Modulated Signal Pulse Compression Simulation, including the impact of time-domain windowing on sidelobe levels in pulse-compressed signals!
Chirp signal pulse compression generates frequency-modulated signals and applies compression processing to achieve high range resolution in radar systems, commonly implemented using matched filtering algorithms.
Simulation of pulse compression and phase-corrected imaging using stepped-frequency signals, with code implementation insights
ex9_12 Pulse Compression Processing of Biphase Coded Signals - 13-bit Barker code implementation for radar pulse compression with excellent autocorrelation function properties, demonstrating high-quality pulse compression results
Doppler compensation algorithm for phase-coded pulse compression radar, implementing signal compensation through advanced digital signal processing techniques
Essential radar signal processing programs including Constant False Alarm Rate (CFAR) detection, pulse compression, and Moving Target Indication (MTI) with algorithm implementations.