Artículos de revistas
Improving the Efficiency of Natural Computing Algorithms in DOA Estimation Using a Noise Filtering Approach
Registro en:
Circuits Systems And Signal Processing. Springer Birkhauser, v. 32, n. 4, n. 1991, n. 2001, 2013.
0278-081X
WOS:000321665100026
10.1007/s00034-012-9538-3
Autor
Boccato, L
Krummenauer, R
Attux, R
Lopes, A
Institución
Resumen
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) We propose a novel strategy to generate initial candidate solutions for bio-inspired algorithms applied to the direction of arrival estimation problem. The idea, which aims to improve the efficiency of the estimator, consists in using the frequency response of a well-known optimum noise reduction filter as the probability density function of the set of candidate solutions. In accordance to this approach, we also employ a modified likelihood function to reduce the estimation error. Simulation results considering an immune-inspired algorithm confirm a significant improvement of its performance and efficiency, and the new estimator reaches the conditional Cram,r-Rao lower bound. 32 4 1991 2001 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP [2008/56937-2, 2010/51027-8]