DocumentCode
1594188
Title
Wideband Beam-Space DOA Estimation Based on Genetic Algorithm
Author
Jin, Yong ; Huang, Jianguo ; Zhao, Jianjun
Author_Institution
Henan Univ., Kaifeng
Volume
3
fYear
2007
Firstpage
791
Lastpage
798
Abstract
Many of the DOA methods such as MUSIC, ESPRIT and ML are applicable only to narrowband signal sources. However, in many case, using information from multiple frequency bins in a wideband methods is necessary to achieve the processing gain needed to obtain good estimates. A beam-space genetic algorithm (BGA) is introduced for direction of arrival (DOA) estimation of wideband signals in this paper. By transforming array data to beam-space using frequency invariant beam forming matrix, the beam-space genetic algorithm is applied to estimate DOA of wideband signals. Simulation results show this proposed algorithm performs better than sub-space algorithm, maximum likelihood algorithm and element space genetic algorithm in low SNR ranges.
Keywords
array signal processing; direction-of-arrival estimation; genetic algorithms; matrix algebra; array data; beam-space genetic algorithm; direction of arrival estimation; frequency bins; frequency invariant beam forming matrix; wideband signals; Broadband antennas; Direction of arrival estimation; Frequency estimation; Genetic algorithms; Linear antenna arrays; Maximum likelihood estimation; Multiple signal classification; Narrowband; Sensor arrays; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.814
Filename
4344617
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