DocumentCode
3385932
Title
Joint angle-frequency estimation based on WSF using Artificial Bee Colony algorithm
Author
Zhicheng Zhang ; Jun Lin ; Yaowu Shi
Author_Institution
Coll. of Commun. Eng., Jilin Univ., Changchun, China
fYear
2013
fDate
23-25 March 2013
Firstpage
1312
Lastpage
1315
Abstract
In this paper, the Weighted Subspace Fitting (WSF) method using Artificial Bee Colony (ABC) algorithm is applied to the problem of estimating the direction-of-arrival (DOA) and the Doppler frequency of multiple signal sources impinging on an antenna array simultaneously. The extended observability matrix containing the angle and frequency parameters is established using state-space model. The WSF method is used to estimate the parameters accurately and convert the problem from parameter estimation to a nonlinear multidimensional function optimization. Then artificial bee colony algorithm is applied to optimize the function and estimate the DOA and Doppler frequency. The proposed method reserves the asymptotic unbiased estimation of the WSF method and reduces the computational burden of calculating the solution. Besides, the estimated parameters can be paired automatically.
Keywords
antenna arrays; direction-of-arrival estimation; frequency estimation; matrix algebra; optimisation; ABC algorithm; DOA estimation; Doppler frequency; WSF; antenna array; artificial bee colony algorithm; direction-of-arrival estimation; extended observability matrix; joint angle-frequency estimation; nonlinear multidimensional function optimization; state-space model; weighted subspace fitting method; Arrays; Direction-of-arrival estimation; Doppler effect; Estimation; Frequency estimation; Joints; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location
Yangzhou
Print_ISBN
978-1-4673-5137-9
Type
conf
DOI
10.1109/ICIST.2013.6747779
Filename
6747779
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