A new DOA method on decorrelating strong correlation signal

Author

Le, Bingbing ; Wu, Duo Long ; Wu, Yan Jie

Author_Institution

Phys. & Photoelectric Eng., Inst. of Guangdong Univ. of Technol., Guangzhou, China

Volume

1

fYear

2012

fDate

25-27 May 2012

Firstpage

466

Lastpage

470

Abstract

DOA algorithm is the key algorithm in smart antennas to achieve the goal positioned accurately. The paper put forward a new DOA method based on Toeplitz matrix, which can decorrelate strong correlation signal effectively. The algorithm uses the internal relation of array receiving data to deal with noise subspace, then to complete the DOA estimation for coherent signals. The algorithm will not have aperture loss, and can distinguish between low SNR signal and strong correlation signal. Results are presented to illustrate the efficiency and accuracy of this method.

Keywords

Toeplitz matrices; adaptive antenna arrays; decorrelation; direction-of-arrival estimation; signal denoising; DOA estimation; DOA method; SNR signal; Toeplitz matrix; array receiving data; noise subspace; smart antenna system; strong correlation signal decorrelation; wireless location algorithm; Arrays; Correlation; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Noise; Coherent signals; DOA; Toeplitz;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-1-4673-0088-9

Type

conf

DOI

10.1109/CSAE.2012.6272639

Filename

6272639