Title :
An improved MUSIC algorithm for superresolution array processing
Author :
Er, M. ; Hui, S.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116218
