R. Kayvan Shokooh - Faculty of Information Technology and Communications, University of Imam Hossein (a.s.), Tehran, Iran
M. Okhovvat - Faculty of Information Technology and Communications, University of Imam Hossein (a.s.), Tehran, Iran

In this paper, we investigate the detection of masked weak moving targets in the adjacent fast strong target by using FAPC algorithm. The matched filter of conventional pulse compression radars induces range sidelobes in surrounding a target with high SNR that could mask the smaller targets. The mismatch created in received signal by Doppler phase shift, degrades APC filter performance in side lobe suppression. In this paper, the FFL-FAPC algorithm is proposed to reduce the range side lobes using the RMMSE estimator in its post-processing method. In various scenarios, we will investigate the detection of masked targets in comparsion with previous methods. Simulation results show that the FFL-FAPC algorithm reduce significantly of computational cost, in addition to provides improved Doppler robustness. 

Fast adaptive pulse compression, Reiterative Minimum Mean Square Error estimator, Doppler phase shift, detection, Matched filter