DocumentCode :
1936302
Title :
A rank-one decomposition algorithm for robust 3D acoustic source localization problem
Author :
Xiang, Wen ; Ai, Wenbao
Author_Institution :
Sch. of Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
6
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
409
Lastpage :
413
Abstract :
For the 3D acoustic source localization problem (3DASLP) based on time difference of arrival (TDOA) technique, this paper shows that SDP relaxation of the 3DASLP is tight to the original problem. One can obtain an optimal solution of the 3DASLP by rank-one decomposition of matrices. So the 3DSLP based on TDOA is solvable in polynomial-time. Moreover, an algorithm based on semi-definite positive program (SDP) relaxation and rank-one decomposition of matrices has been presented. Numerical results show that the algorithm is indeed efficient.
Keywords :
acoustic signal processing; polynomials; time-of-arrival estimation; 3D acoustic source localization problem; rank-one decomposition algorithm; semi-definite positive program; time difference of arrival technique; Matrix decomposition; 3D source location; rank-one decomposition; ratio of quadratic functions optimization; semi-definite poistive;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5563908
Filename :
5563908
Link To Document :
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