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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1437

Title: Exact Maximum Likelihood Direction Of Arrival Estimation Using Bacteria Foraging Optimization
Authors: Hanumantharao, A D
Panigrahi, T
Sahoo, U K
Panda, G
Suresh, B
Keywords: MUSIC
Direction-of-arrival
Maximum Likelihood
PSO
BFO
Issue Date: Mar-2011
Citation: International Conference on Emerging Technologies (ICET-2011) National Institute of Technology, Durgapur, March 28-31, 2011
Abstract: Source direction of arrival (DOA) estimation is one of the challenging problems in a variety of applications, such as communications, radar, sonar, and seismic exploration. Several methods based on maximum likelihood (ML) criteria has been established in literature. Generally, to obtain the exact ML (EML) solutions, the DOAs must be estimated by optimizing a complicated nonlinear multimodal function over a high-dimensional problem space. Bacteria foraging optimization (BFO) based solution is proposed here to compute the ML functions and explore the potential of superior performances over traditional PSO algorithm. Simulation results confirms that the BFO-EML estimator is significantly giving better performance at lower SNR compared to conventional method like MUSIC in various scenarios at less computational costs.
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/1437
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