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Detection Performance Analysis of Small Target Under Clutter Based on LFMCW Radar

Linear frequency modulation continuous wave (LFMCW) radar is a common sensor for detecting near-range targets. In this paper, the detection performance of low-small-slow unmanned aerial vehicle (LSS-UAV) is studied using the two-dimensional Fourier transform (2D-FFT) technology in the presence of dense architectural clutter via a LFMCW radar. Firstly, the beat frequency signal in time domain and frequency domain is analyzed, and the relevant factors which affect the speed detection and range detection performance are also covered. Secondly, the influence mechanism of clutter on range and velocity measurements of UAV is analyzed when extended to the ground clutter scenario. Finally, we use Monte-Carlo simulations to analyze the detection performance related to different parameters, including the radar parameters (frequency modulation ratio, bandwidth, moving target indication or not), target parameters (RCS, velocity), and clutter parameters (amplitude, spectral width) etc. The result shows that the detection in velocity dimension is crucial for discriminating LSS-UAV from strong clutter. And it is better to use large bandwidth signal and long-time accumulation technology to improve the target detection performance on strong clutter background.