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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/394

Title: Genetic algorithm based MVDR beam formation for adaptive nulling
Authors: KANNAN, G
MERCHANT, SN
DESAI, UB
Keywords: adaptive antenna arrays
array signal processing
genetic algorithms
interference suppression
least squares approximations
space-time adaptive processing
Issue Date: 2004
Publisher: IEEE
Citation: Proceedings of the International Conference on Signal Processing and Communications, Bangalore, India, 11-14 December 2004, 228-233
Abstract: Minimum Variance Distortionless Response (MVDR) beam former is a spectral estimation technique where the power of signal in desired direction is maintained and the variance (power) in unwanted direction is minimized. MVDR beam former is generally used in adaptive arrays for adaptive nulling of jammerhterference. Genemlly in adaptive arrays QR decomposition is used for least square minimization of error, as it has less computational complexity and very fast convergence rate [I]. In this paper we propose, the application of genetic algorithm concepts for (GA) €or least square minimization in adaptive arrays. We show that the proposed algorithm is very efficient computationally compared to other algorithms available. The proposcd algorithm based only on binary operations.
URI: http://hdl.handle.net/10054/394
http://dspace.library.iitb.ac.in/xmlui/handle/10054/394
ISBN: 0-7803-8674-4
Appears in Collections:Proceedings papers

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