DocumentCode :
735077
Title :
Interpolation array technique for direction finding via Taylor series fitting
Author :
Ming-Yang Cao ; Lei Huang ; Wei-Xin Xie ; So, H.C.
Author_Institution :
Dept. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
fYear :
2015
fDate :
12-15 July 2015
Firstpage :
736
Lastpage :
740
Abstract :
Interpolation array approach based on Taylor series fitting for arbitrary geometry array is developed in this paper. As the steering vector is a function of direction-of-arrival (DOA), Taylor series fitting for the steering vector is conducted within an angle range, and the steering matrix is decomposed into a coefficient matrix multiplying by a Vandermonde structure vector bearing the DOA information. Moreover, the coefficient matrix is calculated by the least squares method. Results show that the proposed approach has a better DOA estimation performance over the traditional interpolation array technique under uncorrelated and correlated signal conditions.
Keywords :
array signal processing; correlation methods; direction-of-arrival estimation; interpolation; least squares approximations; matrix decomposition; series (mathematics); DOA estimation performance; DOA information; Taylor series fitting; Vandermonde structure vector; angle range; arbitrary geometry array; array processing; coefficient matrix; correlated signal conditions; direction finding; direction-of-arrival; interpolation array technique; least squares method; steering matrix decomposition; steering vector; Arrays; Covariance matrices; Direction-of-arrival estimation; Estimation; Interpolation; Matrix decomposition; Taylor series; Taylor series; array interpolation; array processing; direction-of-arrival;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/ChinaSIP.2015.7230502
Filename :
7230502
Link To Document :
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