A novel approach for robust high-resolution DOA estimation

Author

Totarong, Pian ; El-Jaroudi, Amro

Author_Institution

Dept. of Electr. Eng., Pittsburgh Univ., PA, USA

fYear

1992

fDate

7-9 Oct 1992

Firstpage

366

Lastpage

369

Abstract

The proposed method is based on the signal eigenvectors of the covariance matrix being a linear combination of the direction vectors which contain the DOA information. By applying a high-resolution frequency estimation algorithm to an element sequence of a combination of signal eigenvectors, the proposed method has better performance at low SNR. For example, it is about 5 dB more robust to noise than spatial-smoothed MUSIC and Minimum-Norm

Keywords

array signal processing; eigenvalues and eigenfunctions; parameter estimation; covariance matrix; frequency estimation algorithm; high-resolution DOA estimation; performance; signal eigenvectors; Covariance matrix; Delay; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Noise robustness; Sensor arrays; Sensor phenomena and characterization; Signal to noise ratio; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0508-6

Type

conf

DOI

10.1109/SSAP.1992.246774

Filename

246774

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3381325