Research of sidelobe suppression of RDA and CSA imaging algorithms

This paper presents three algorithms to suppress sidelobe of images produced by both RDA and CSA imaging algorithms. The first is windowed RDA (W-RDA) and windowed CSA(W-CSA) which decreases the sidelobe and increases the signal-to-noise ratio. The second is spatially variant apodization RDA and CSA (SVA-RDA and SVA-CSA) which weighs the amplitude of each point in frequency domain and then suppresses sidelobe effectively, and keeps good main lobe resolution at the same time. The third is a combination of the previous two as WSVA-RDA and WSVA-CSA which overcomes the deficiency of the previous two and has a better result. The paper puts forward two parameters named Peak-Sidelobe Ratio (PSR) and Peak-Image Ratio (PIR) to evaluate the sidelobe suppression effect. Simulation results prove the performance of the three methods of this paper.