Improved angular resolution of beamspace MUSIC for finding directions of coherent sources

Author

Phaisal-atsawasenee, Navapol ; Suleesathira, Raungrong

Author_Institution

Dept. of Electron. & Telecommun. Eng., King Mongkut´´s Univ. of Technol., Bangkok

fYear

2006

fDate

19-21 Jan. 2006

Lastpage

56

Abstract

Beamspace MUSIC (multiple signal classification) of forward-backward spatial smoothing are used to estimate the directions of coherent arrivals. Coherence are often encountered in sonar, radar, or mobile communications. Such combination can be degraded when the source signals become coherent or strongly correlated. In this paper, we improve angular resolution of beamspace MUSIC by using the forward-backward averaging of a combined signal eigenvectors. The sample covariance matrix computed from the forward-backward spatial smoothing is exploited for an eigen-decomposition. The decorrelation performance of the proposed method is compared to the several methods based on MUSIC and on beamspace MUSIC, in terms of directions of arrival (DOA) estimations, MSEs versus (1) correlation, (2) noise variance and (3) SNRs, probability of resolution to separate closely spaced DOAs

Keywords

coherence; direction-of-arrival estimation; mobile communication; radar signal processing; radio direction-finding; signal classification; sonar signal processing; beamspace multiple signal classification; direction finding; directions of arrival estimations; forward-backward spatial smoothing; mobile communications; radar communications; sonar communications; Covariance matrix; Degradation; Direction of arrival estimation; Mobile communication; Multiple signal classification; Radar; Signal resolution; Smoothing methods; Sonar; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

Conference_Location

Harbin

Print_ISBN

0-7803-9395-3

Type

conf

DOI

10.1109/ISSCAA.2006.1627701

Filename

1627701