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Abstract
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Article Information:
Joint Estimation of Amplitude and Direction of Arrival for Far Field Sources using Intelligent Hybrid Computing
Fawad Zaman, Shahid Mehmood, Junaid Ali Khan and Ijaz Mansoor Qureshi
Corresponding Author: Fawad Zaman
Submitted: December 20, 2012
Accepted: January 25, 2013
Published: November 10, 2013 |
Abstract:
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In this study, an intelligent hybrid computing technique is presented to estimate jointly the amplitude and Direction of Arrival (Elevation angle) of far field sources. In this intelligent hybrid scheme, Genetic Algorithm (GA) is hybridized with Pattern Search (PS), in which GA is working as a global optimizer while PS is used as local optimizer for further improvement of the results. GA and PS techniques are also applied independently to compare with GA hybridized with pattern search. The fitness evaluation function is formed by the Mean Square Error (MSE) of the desired response with the estimated one. This function is simple and requires a single snapshot to reach the optimum solution. A sufficient number of Monte-Carlo Simulations is used to evaluate the convergence rate, MSE and estimation accuracy of each scheme.
Key words: Direction of arrival, genetic algorithm, intelligent hybrid computing, pattern search, , ,
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Cite this Reference:
Fawad Zaman, Shahid Mehmood, Junaid Ali Khan and Ijaz Mansoor Qureshi, . Joint Estimation of Amplitude and Direction of Arrival for Far Field Sources using Intelligent Hybrid Computing. Research Journal of Applied Sciences, Engineering and Technology, (20): 3723-3728.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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