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Genetic algorithm based maximum likelihood DOA estimation

Li, M. and Lu, Y. (2002) Genetic algorithm based maximum likelihood DOA estimation. In: RADAR 2002 Conference, 2002-10-15 - 2002-10-17, Edinburgh.

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Abstract

The maximum likelihood (ML) direction-of-arrival (DOA) estimation method was one of the first to be investigated. For a long time, the complexity and computational load of maximizing the multivariable, highly nonlinear likelihood function prevented it from popular. We present the genetic algorithm (GA) for computing exact solutions to the likelihood function with almost guarantee of global convergence. The performance of GA-based ML and multiple signal classification (MUSIC) algorithm have been compared for a variety of scenarios of SNR, DOA separation, number of snapshots, and computational cost. The relationship between the ML technique and MUSIC is also investigated.

Item type: Conference or Workshop Item (Paper)
ID code: 39510
Keywords: DOA estimation , maximum likelihood , direction-of-arrival, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 03 May 2012 15:42
    Last modified: 17 Jul 2013 15:30
    URI: http://strathprints.strath.ac.uk/id/eprint/39510

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