High-Speed Targets Detection with Large Pulse Width Wideband LFM Signal Based on IAA-CICPF Algorithm

High-speed targets (radial velocity) cause the target echo spectrum spreading and center frequency shift, which causes great difficulties to the traditional target detection and target parameter estimation. The baseband signal of the received echo of a single broadband pulse of a high-speed target is still a linear frequency modulation (LFM) signal, thus the problem of high-speed target detection and parameter estimation can be transformed into the problem of estimating the centroid frequency (CF) and chirp rate (CR) of the LMF signal. In this paper, a method of broadband radar high-speed target detection based on coherent integrated cubic phase function (CICPF) is proposed to detect multiple high-speed moving targets. In addition, the CICPF algorithm is combined with an ultra-fast two-dimensional iterative adaptive approach (2D-IAA) spectral estimation algorithm to reduce the computational cost as well as to reduce the main lobe width and suppress the sideband of the target spectrum for improving the resolution. Simulation experiments show that the method in this paper is effective.