DocumentCode :
3458976
Title :
Enhanced fast DOA algorithm through shrinking signal subspace and noise pseudo eigenvector using forward-backward method
Author :
Haque, F. ; Reaz, K. ; Matin, M.A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., North South Univ., Dhaka, Bangladesh
fYear :
2011
fDate :
4-7 Dec. 2011
Firstpage :
509
Lastpage :
513
Abstract :
The efficiency of the smart antennas greatly relies on the correctness and quickness of direction of arrival (DOA) estimation. This paper provides an enhanced approach for estimating direction of arrival through shrinking signal subspace and noise pseudo eigenvector using forward-backward method for real-time applications in non-stationary environment. Our proposed algorithm gives enhanced performance than Kim´s method in terms of resolution by detecting uncorrelated and coherent signal simultaneously. The proposed algorithm does not require prior knowledge of incoming signal and formation of covariance matrix. Thus it reduces computational complexity in comparison to other algorithms. The simulation shows that our proposed technique has improved the performance in terms of single snap shot and can be applied in real-time application for non-stationary sources.
Keywords :
adaptive antenna arrays; computational complexity; correlation theory; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; signal detection; signal resolution; Kim method; coherent signal detection resolution; computational complexity; covariance matrix; direction estimating; enhanced fast DOA algorithm; enhanced fast direction of arrival estimation; forward-backward method; noise pseudo eigenvector; shrinking signal subspace; smart antenna efficiency; uncorrelated detection resolution; Arrays; Direction of arrival estimation; Estimation; Noise; Signal processing algorithms; Signal resolution; Vectors; Direction of Arrival (DOA); Forward-Backward Method; Noise Pseudo eigen vector; Shrinking Signal Subspace;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Applications and Industrial Electronics (ICCAIE), 2011 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-2058-1
Type :
conf
DOI :
10.1109/ICCAIE.2011.6162188
Filename :
6162188
Link To Document :
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