DocumentCode
2066766
Title
A decorrelation method through perpendicular smoothing translation of Uniform Circular Array
Author
Yang Yi ; Cao Xiang-yu ; Yang Qun ; Yao Xu
Author_Institution
Inst. of Telecommun. Eng., Air Force Eng. Univ., Xi´an, China
fYear
2011
fDate
14-16 Sept. 2011
Firstpage
1
Lastpage
4
Abstract
A new decorrelation algorithm through perpendicular translation based on Uniform Circular Array (UCA) has been proposed in this paper. More than one covariance matrices were generated by shifting the array of received signal at two perpendicular directions firstly, and then a new covariance matrix which was a full rank matrix was obtained by averaging the previous matrixes and the signals mentioned before were converted to independence. The simulation results showed that this method was feasible.
Keywords
array signal processing; decorrelation; covariance matrices; decorrelation method; perpendicular directions; perpendicular smoothing translation; received signal; uniform circular array; Arrays; Covariance matrix; Estimation; Multiple signal classification; Signal processing algorithms; Simulation; Smoothing methods; MUSIC algorithm component; coherent signals; direction of arrival estimation; uniform circular array;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4577-0893-0
Type
conf
DOI
10.1109/ICSPCC.2011.6061684
Filename
6061684
Link To Document