A Novel Algorithm for Detection of a Maneuvering Target in Passive Radar

For passive radar, the maneuvering target causes range cell migration and Doppler cell migration, leading to a detection ability loss. The signal model is established and a novel detection algorithm is proposed to solve the problem. Firstly, the fast and slow time domains are divided by the overlapping segment method and the Keystone transform is adopted in order to correct the range cell migration due to differential velocity. Then the signal is divided into segments second time in the slow time domain. Finally range cell migration and Doppler cell migration induced by differential acceleration are corrected by the segmentation implementation method of the Fourier transform to achieve long term coherent integration. Experiments based on simulated and practical signals verify the effectiveness of the proposed algorithm.