Key Issues in Pulse Compression for Radar Linear Frequency Modulation (LFM) Signals
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Resource Overview
This MATLAB-based simulation analyzes critical aspects of pulse compression using Linear Frequency Modulation (LFM) signals in radar systems. The implementation includes code modules demonstrating sidelobe suppression effects (with and without windowing functions), Doppler frequency shift impacts, and comparative analysis between time-domain and frequency-domain pulse compression results. These simulations provide technical professionals with practical insights into algorithm performance under varying operational conditions.
Detailed Documentation
This article presents MATLAB simulations investigating key challenges in pulse compression processing for radar Linear Frequency Modulation (LFM) signals. The developed code implements multiple pulse compression scenarios, including: 1) Sidelobe suppression analysis comparing rectangular windowing versus weighted windowing functions (e.g., Hamming, Hanning) through frequency-domain weighting techniques 2) Doppler frequency shift effects simulation using phase rotation methods in the matched filter implementation 3) Comparative evaluation between time-domain convolution-based pulse compression and frequency-domain FFT-based processing approaches. The simulation results demonstrate practical trade-offs in compression ratio, resolution, and computational efficiency, providing radar engineers with actionable data for system optimization. These implementations utilize core MATLAB functions including fft, ifft, and conv operations with customizable parameter settings for bandwidth, pulse width, and target velocity simulations.
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