Title :
An iterative technique to achieve enhanced spectral resolution
Author :
Holder, E.J. ; Derr, M.N.
Author_Institution :
Georgia Tech. Res. Inst., Atlanta, GA, USA
fDate :
9/1/1991 12:00:00 AM
Abstract :
An iterative technique, called iterative MUSIC (ITM), is introduced that achieves enhanced resolution performance equivalent to MUSIC´s without performing the eigensystem decomposition of the array correlation matrix. The technique can be modified to accommodate a signal-space or a noise-space spectral resolution algorithm. Simulation results are included that compare the relative performance of the derived iterative technique and MUSIC. It is shown that the spectral estimation performance of ITM with three iterations is similar to that of MUSIC for signal-to-noise ratios in the range from 0 to 30 dB
Keywords :
iterative methods; parameter estimation; spectral analysis; ITM; iterative MUSIC; iterative technique; noise-space spectral resolution algorithm; signal-space spectral resolution algorithm; spectral estimation performance; spectral resolution enhancement; Algorithm design and analysis; Eigenvalues and eigenfunctions; Iterative algorithms; Multiple signal classification; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution; Signal to noise ratio; Time frequency analysis;
Journal_Title :
Signal Processing, IEEE Transactions on