Manoeuvring target detection based on keystone transform and Lv's distribution

摘要

This study considers the coherent integration problem for detecting a manoeuvring target, involving range migration (RM) and Doppler frequency migration (DFM) within the coherent processing interval. An efficient coherent integration method based on keystone transform (KT) and Lv's distribution (LVD) is proposed. It can not only correct the RM effect by KT and fold factor phase compensation, but also remove the DFM effect and achieve the coherent accumulation via LVD. Compared with the moving target detection, Radon-Fourier transform, and Radon-fractional Fourier transform algorithms, the proposed method can obtain better detection ability under low signal-to-noise ratio environment. Finally, several simulations are provided to demonstrate the effectiveness.