Genetic algorithm based maximum likelihood approach for accurate DOA estimation of closely spaced sources

Research output: Contribution to conference › Paper

Abstract

Describes the genetic algorithm based maximum likelihood approach for accurate DOA estimation of closely spaced sources.

Original language	English
Publication status	Published - Nov 2002
Event	4th Asia-Pacific Conference on Simulated Evolution and Learning (2002) - Duration: 1 Jan 1900 → …

Conference	4th Asia-Pacific Conference on Simulated Evolution and Learning (2002)
Period	1/01/00 → …

@conference{1d5341d8df5546b6ad9337997bdfa1a9,

title = "Genetic algorithm based maximum likelihood approach for accurate DOA estimation of closely spaced sources",

abstract = "Describes the genetic algorithm based maximum likelihood approach for accurate DOA estimation of closely spaced sources.",

keywords = "DOA estimation , genetic algorithm",

author = "M. Li and Y. Lu",

year = "2002",

month = nov,

language = "English",

note = "4th Asia-Pacific Conference on Simulated Evolution and Learning (2002) ; Conference date: 01-01-1900",

}

TY - CONF

T1 - Genetic algorithm based maximum likelihood approach for accurate DOA estimation of closely spaced sources

AU - Li, M.

AU - Lu, Y.

PY - 2002/11

Y1 - 2002/11

N2 - Describes the genetic algorithm based maximum likelihood approach for accurate DOA estimation of closely spaced sources.

AB - Describes the genetic algorithm based maximum likelihood approach for accurate DOA estimation of closely spaced sources.

KW - DOA estimation

KW - genetic algorithm

M3 - Paper

T2 - 4th Asia-Pacific Conference on Simulated Evolution and Learning (2002)

Y2 - 1 January 1900

ER -