Linear Chirp Signal Spectrum and Matched Filter Implementation

This document provides complete source code implementations for linear chirp signal spectrum analysis and matched filtering applications. The codebase includes practical MATLAB/Python implementations covering chirp signal generation algorithms using frequency modulation techniques, spectrum analysis methods utilizing FFT algorithms, and matched filter design principles with correlation-based processing. Additionally, comprehensive theoretical background is provided, explaining fundamental concepts such as chirp signal generation principles involving linear frequency sweeps, spectrum analysis techniques using Fourier transform methods, and matched filter design methodologies for optimal signal detection. The implementation demonstrates key functions including waveform generation with customizable bandwidth and duration parameters, frequency domain analysis with windowing techniques, and filter optimization for maximum SNR enhancement. These resources aim to facilitate better understanding and practical application of linear chirp signal processing technologies in radar, sonar, and communication systems.