An iterative technique to achieve enhanced spectral resolution

An iterative technique to achieve enhanced spectral resolution

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...

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Veröffentlicht in:IEEE transactions on signal processing 1991-09, Vol.39 (9), p.2098-2101
Hauptverfasser: Holder, E.J., Derr, M.N.
Format: Artikel
Sprache:eng
Schlagworte:
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
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Zusammenfassung: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.< >
ISSN:1053-587X
1941-0476
DOI:10.1109/78.134445