On the kernel MUSIC algorithm

Author

Shimotahira, Hiroshi

Author_Institution

ATR Opt. & Radio Commun. Res. Labs., Kyoto, Japan

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

909

Abstract

The kernel MUSIC (multiple signal classification) algorithm was proposed as an improvement over the existing MUSIC algorithm. The proposed algorithm is based on the orthogonality between the image and kernel space of an Hermitian mapping constructed from a signal. The major part of the computation is Gaussian elimination of a matrix, the required processing time as a function of data number grows slower than that of the existing MUSIC based on eigenstate analysis. And thus this algorithm is advantageous for processing large size data. This algorithm was applied to image reconstruction process of a laser radar and its superior spatial resolution higher than that limited by the wavelength scanning range was demonstrated

Keywords

image reconstruction; optical radar; signal reconstruction; smoothing methods; Gaussian elimination; Hermitian mapping; eigenstate analysis; image reconstruction process; kernel MUSIC algorithm; laser radar; multiple signal classification; orthogonality; smoothing; spatial resolution; wavelength scanning range; Cost function; Kernel; Laboratories; Laser radar; Multiple signal classification; Radio communication; Signal mapping; Smoothing methods; Spatial resolution; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480322

Filename

480322