DocumentCode
1911829
Title
A High Resolution Algorithm for Estimating DOA of the 60 GHz Signal
Author
Zhang Hao ; Zhang Shanmei ; Wu Chunlei ; Gulliver, T.A.
Author_Institution
Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
fYear
2012
fDate
14-16 Dec. 2012
Firstpage
465
Lastpage
468
Abstract
60GHz wireless communication technology is considered to be one of the most promising technology in future wireless communication domains. The information of the DOA (direction of arrival) is the foundation for adaptive array antenna to adjust the optimal beam direction as well as track mobile terminal, and the method to obtain the precise DOA is the key technology of the adaptive beam forming. The STMV (Steered Minimum Variance) algorithm is a kind of high resolution wideband adaptive beam forming method, which takes advantages of the STCM (Steered Covariance Matrix) to estimate the adaptive beam forming weight vector so as to obtain DOA information. In this paper, we attempt to bring STMV algorithm into DOA estimation for 60GHz signals. It is proved practicable to apply STMV algorithm in 60GHz DOA estimation via MATLAB simulation. Comparing with the MVDR (Minimum Variance Distortionless Response) algorithm, the STMV algorithm shows excellent performance that it needs less fast beats in the required resolution, also has smaller variance.
Keywords
adaptive antenna arrays; array signal processing; covariance matrices; direction-of-arrival estimation; wireless channels; DOA estimation; MATLAB simulation; MVDR; STCM; STMV; adaptive array antenna; direction of arrival estimation; frequency 60 GHz; high resolution algorithm; minimum variance distortionless response; optimal beam direction; steered covariance matrix; steered minimum variance; track mobile terminal; wideband adaptive beamforming; wireless communication technology; 60GHz; BF; DOA; MVDR; STMV;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ISISE), 2012 International Symposium on
Conference_Location
Shanghai
ISSN
2160-1283
Print_ISBN
978-1-4673-5680-0
Type
conf
DOI
10.1109/ISISE.2012.111
Filename
6495388
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