Signal Processing Techniques for LFMCW Radar under Urban Low, Slow, and Small Conditions

This paper presents an in-depth analysis of the Linear Frequency-Modulated Continuous-Wave (LFMCW) radar, focusing on its application in urban environments for detecting low, slow, and small (LSS) targets. The paper comprehensively examines the operational range, noise characteristics, system loss, error sources, and various signal processing schemes of LFMCW radar. Special attention is given to the array radar technology, emphasizing its significance in modern radar systems and how it enhances target detection through techniques like Intermediate Frequency Quadrature Sampling, Amplitude and Phase Error Correction, Target Parameter Estimation, and Constant False Alarm Rate Detection. The research underscores the system's capability in simultaneous multi-beam formation, crucial for accurate target detection and angle measurement in challenging urban scenarios. The findings indicate that LFMCW radar, equipped with advanced signal processing techniques, offers robust performance in detecting LSS targets, making it highly suitable for applications in areas like airport airspace control, military surveillance, and public event security.