Radar Pulse Compression Using Matched Filtering Technique

The document contains a Word report detailing radar pulse compression implementation using matched filtering. The system operates with a sampling frequency fs=420MHz, simulates radar echoes, and generates pulse compression waveform plots comparing results before and after Hamming window application. (Implementation note: Proper acquisition gate setting optimizes data volume reduction). The report also examines Dechirp-based pulse compression methodology where the reference distance is set at (0,0) with 10MHz sampling frequency and 512 range sampling points. The simulation includes radar echo generation and comparative waveform visualization with/without Hamming window filtering. (Algorithm insight: Strategic acquisition gate configuration minimizes computational load).

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This report comprehensively describes radar equipment employing matched filtering for pulse compression. The system configuration uses 420MHz sampling frequency with simulated radar echoes. We generated comparative pulse compression waveforms demonstrating the impact of Hamming window application. From a coding perspective, the implementation involves creating matched filter coefficients corresponding to the transmitted waveform and performing convolution operations with received signals. Data optimization is achieved through proper acquisition gate settings in the signal processing chain.

Furthermore, the study introduces Dechirp processing for pulse compression implementation. In this approach, the reference distance is positioned at (0,0) with 10MHz sampling frequency and 512 sampling points. The technical implementation typically involves mixing the received signal with a reference signal and performing FFT operations for range compression. Similarly, we simulated and plotted pulse compression waveforms comparing results with/without Hamming window application, while implementing efficient acquisition gate control to manage data throughput. The Hamming window application involves element-wise multiplication with the frequency-domain signal to reduce sidelobes in the final range profile.

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