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
Link To Document :
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