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 1530-8669Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|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|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||01 Dec 2011 15:25|
|Last modified:||22 Mar 2017 10:14|