DocumentCode :
302970
Title :
Direction finding and array calibration based on maximal set of nonredundant cumulants
Author :
Wu, Huan ; Jia, Yongkang ; Bao, Zheng
Author_Institution :
Electron. Inst., Xidian Univ., Xi´´an, China
Volume :
5
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
2626
Abstract :
An algorithm for direction finding and array calibration based on the maximal set of nonredundant cumulants (MSNC) is presented in this paper. The algorithm utilizes all nonredundant information of the spatial fourth-order cumulants. It has been shown that the algorithm is insensitive to additive Gaussian noise and superior to conventional covariance-based DOA algorithms with reduced estimation variances and enhanced resolvability. The algorithm also circumvents the iteration between direction finding and array calibration, without the problem of convergence and with improved robustness. Simulation experiments demonstrate the potential performance of the proposed algorithm
Keywords :
calibration; direction-of-arrival estimation; higher order statistics; signal resolution; MSNC; additive Gaussian noise; algorithm; array calibration; direction finding; estimation variance; maximal set of nonredundant cumulants; nonredundant information; resolvability; robustness; spatial fourth-order cumulants; Calibration; Convergence; Covariance matrix; Degradation; Direction of arrival estimation; Gaussian noise; Iterative algorithms; Phased arrays; Sensor arrays; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.548003
Filename :
548003
Link To Document :
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