Research of sidelobe suppression of RDA and CSA imaging algorithms

Document Type

Conference Proceeding

Publication Date

11-25-2015

Abstract

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.

Identifier

84960977068 (Scopus)

ISBN

[9781479989188]

Publication Title

2015 IEEE International Conference on Signal Processing Communications and Computing Icspcc 2015

External Full Text Location

https://doi.org/10.1109/ICSPCC.2015.7338812

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