Radar Echo Signal Detection

Radar echo signal detection plays a critical role in radar technology. To achieve more precise detection results, Linear Frequency Modulated (LFM) signals with pulse compression techniques are commonly employed. The implementation typically involves generating LFM waveforms using functions like `chirp()` in MATLAB, followed by matched filtering operations for pulse compression. For enhanced target identification, Moving Target Detection (MTD) algorithms are utilized, which involve Doppler processing through FFT-based filters across multiple pulses. Coherent integration techniques combine phase-aligned signals to improve SNR, while long-term integration extends this over prolonged observation periods. However, these advanced techniques introduce challenges such as range migration (where target range changes during integration) and velocity ambiguity (due to limited pulse repetition frequency). Proper signal processing adjustments, including range alignment algorithms and PRF selection strategies, are necessary to maintain the accuracy and reliability of radar systems.