A Sidelobe Cancellation Doppler Filter for Angular Measurement in Monopulse Radar Imagination

Monopulse technique is used in scanning radar sensors to improve image quality in the forward-looking area. However, monopulse measurements fail to resolve multiple targets in the same resolution cell because of angular glint, which often results in image blurring. The algorithm of reconstructing monopulse radar sum-differential channel based on Doppler estimation via chirp-z transform has been proposed. It can separate multiple targets in different directions in the same range bin, and has high resolution accuracy. In this paper, a sidelobe cancellation Doppler filter is utilized to suppress the sidelobes of the targets in adjacent Doppler bins and further improve estimation accuracy. The simulation results of point targets show that the proposed algorithm can separate multiple targets in the highly squinted directions and has good angular measurement performance.