An improved MUSIC algorithm for superresolution array processing

Author

Er, M. ; Hui, S.

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore

fYear

1990

fDate

3-6 Apr 1990

Firstpage

2843

Abstract

An improved MUSIC algorithm for superresolution array processing is presented. The approach is formulated as a constrained least square minimization problem. The solution is to find a weight vector which is as close as possible to a predetermined weight vector maintaining a closed flat response over a spatial region of interest and at the same time lying in the noise subspace. The relationship of this approach to other subspace techniques is explored. Numerical results are presented to illustrate the performance achievable

Keywords

detectors; least squares approximations; noise; signal detection; signal processing; MUSIC algorithm; closed flat response; constrained least square minimization problem; noise subspace; spatial region; subspace techniques; superresolution array processing; weight vector; Array signal processing; Delay estimation; Direction of arrival estimation; Eigenvalues and eigenfunctions; Least squares methods; Matrix decomposition; Multiple signal classification; Sensor arrays; Signal resolution; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.116218

Filename

116218