Mainlobe jamming suppression via improved BSS method for rotated array radar

This study deals with the problem of mainlobe jamming suppression for rotated array radar. The interference becomes spatially nonstationary while radar rotates, which causes mismatch between weight and snapshots thus loss target signal to noise ratio (SNR) pulse compression. In this paper, we explore spatial divergence sources consider anti-mainlobe as a generalized mixed (RAMS) model firstly. Then corresponding algorithm improved blind source separation (BSS) using frequency domain robust principal component analysis (FD-RPCA-BSS) is proposed based on established rotating model. It can eliminate influence parts address SNR. Finally, measured peak-to-average power (PAPR) each separated channel performed identify echo among channels. Simulation results show that method practically feasible suppress lower