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Abstract
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Article Information:
Real Time Direction of Arrival Estimation in Noisy Environment Using Particle Swarm Optimization with Single Snapshot
Fawad Zaman, I.M. Qureshi, A. Naveed and Z.U. Khan
Corresponding Author: Fawad Zaman
Submitted: February 18, 2012
Accepted: March 24, 2012
Published: July 01, 2012 |
Abstract:
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In this study, we propose a method based on Particle Swarm Optimization for estimating Direction
of Arrival of sources impinging on uniform linear array in the presence of noise. Mean Square Error is used
as a fitness function which is optimum in nature and avoids any ambiguity among the angles that are
supplement to each others. Multiple sources have been taken in the far field of the sensors array. In Case-I the
sources are assumed to be far away from each other whereas, in case-II they are assumed to be close enough
to each other. The reliability and effectiveness of this proposed algorithm is tested on the bases of
comprehensive statistical analysis. The proposed algorithm require single snapshot and can be applied in real
time situation.
Key words: Direction of arrival, linear array, particle swarm optimization, signal to noise ratio, , ,
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Cite this Reference:
Fawad Zaman, I.M. Qureshi, A. Naveed and Z.U. Khan, . Real Time Direction of Arrival Estimation in Noisy Environment Using Particle Swarm Optimization with Single Snapshot. Research Journal of Applied Sciences, Engineering and Technology, (13): 1949-1952.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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