LFMCW signal detection method based on periodic discrete polynomial phase transformation

To address the problem that the existing Linear Frequency Modulated Continuous Wave (LFMCW) signal detection method needs to search in the multidimensional parameter domain leading to large computational complexity, this paper improves the delay structure of the discrete polynomial phase transform (DPT) and proposes the LFMCW signal detection method based on the periodic DPT (PDPT). The proposed detection method retains the advantage of low computational complexity and eliminates the interference term, which improves the problem of poor anti-noise performance of LFMCW signals due to the inability of optimal energy aggregation. In this paper, we first analyze the computational complexity and detection performance of the proposed detection method, and then verify the effectiveness of the proposed method by using simulation results and measured data.