FMCW Radar Moving Target Detection Method Based on Graph Connectivity Density

In the field of radar signal processing, moving target detection has consistently garnered widespread attention. Under complex signal backgrounds, Frequency Modulated Continuous Wave (FMCW) radar systems are susceptible to interference from clutter and noise sources, which significantly degrades their detection performance for moving targets. To address this challenge, this paper proposes a moving target detection method based on graph connectivity density. Initially, the Moving Target Indication (MTI) technique is employed to perform pulse integration of moving targets in signals acquired by FMCW radar. A signal model of pulse spectral intensity maps is constructed within target and clutter range cells, followed by the extraction of the maximum eigenvalue of the Laplacian matrix as a measure of graph connectivity. This parameter is subsequently utilized for detection across all range cells. Experimental results demonstrate that the proposed method achieves superior detection probability under conditions of low false alarm probability.