Linear Frequency Modulated Pulse Compression
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In this article, we introduce the principles of Linear Frequency Modulated (LFM) pulse compression. LFM pulse compression is a crucial signal processing technique widely employed in radar systems. This method involves applying linear frequency modulation to transmitted signals and performing correlation operations on received signals to achieve target detection and range measurement capabilities. The MATLAB simulation includes key implementations such as chirp signal generation using the chirp() function, cross-correlation processing through xcorr(), and matched filter operations for optimal signal-to-noise ratio enhancement. Through carefully designed simulation plots, you can visually observe the pulse compression effects including mainlobe narrowing and sidelobe suppression characteristics. This approach provides deeper insights into the technical implementation, algorithmic workflow, and practical applications of LFM pulse compression in modern radar systems.
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