Title :
On the kernel MUSIC algorithm
Author :
Shimotahira, Hiroshi
Author_Institution :
ATR Opt. & Radio Commun. Res. Labs., Kyoto, Japan
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480322
