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Accurate direction-of-arrival estimation of multiple sources using a genetic approach

Li, M. and Lu, Yi-Long (2005) Accurate direction-of-arrival estimation of multiple sources using a genetic approach. Wireless Communications and Mobile Computing, 5 (3). pp. 343-353. ISSN 1530-8669

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Abstract

In this paper, we present an accurate direction-of-arrival (DOA) estimation method, which is based on the maximum likelihood (ML) principle and implemented using a modified and refined genetic algorithm (GA). With the newly introduced features—intelligent initialization and the emperor-selective (EMS) mating scheme, carefully selected crossover and mutation operators and fine-tuned parameters such as the population size, the probability of crossover and mutation etc., the GA-ML estimator achieves fast global convergence. A GA operator and parameter standard is suggested for this application, which is independent of the source and array configurations except the number of sources. Simulation results demonstrate that in general scenarios, the proposed estimator is the most efficient in computation and its statistical performance is the best among all popular ML-based DOA estimation methods.

Item type: Article
ID code: 14695
Keywords: array processing, direction finding, genetic algorithms, Electrical engineering. Electronics Nuclear engineering, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 01 Dec 2011 15:25
    Last modified: 04 Sep 2014 21:54
    URI: http://strathprints.strath.ac.uk/id/eprint/14695

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