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Please use this identifier to cite or link to this item: http://hdl.handle.net/2074/2037

Title: Sequence CLEAN technique using BGA for contiguous radar target images with high sidelobes
Authors: Bose, R
Keywords: coherent CLEAN algorithm
m-ary tree
breeder genetic algorithm
Issue Date: 2002
Citation: Aerospace and Electronic Systems, IEEE Transactions on, 39(1), 368-373p.
Abstract: High resolution range profiles usually suffer from range sidelobe artifacts which cause reduction in the dynamic range. The sidelobes can be greatly reduced by a deconvolution technique called Coherent CLEAN. The Coherent CLEAN algorithm is based on the assumption that the scene consists of isolated and independent targets. However, many real-life targets are contiguous. The sidelobes and the mainlobes of these closely spaced point sources interact constructively and destructively causing spurious peaks and peak mislocations. A technique called Sequence CLEAN uses the highest m peaks at a time to determine the best sequence of target subtraction. This involves searching an m-ary tree, which is computationally expensive. We propose the use of the breeder genetic algorithm (BGA) to determine the optimal sequence of target cancellation for Sequence CLEAN. This results in a substantial decrease in the computational complexity. The parameters required for the genetic algorithm have been ana...
URI: http://eprint.iitd.ac.in/dspace/handle/2074/2037
Appears in Collections:Electrical Engineering

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