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Proper orthogonal projection - multiple signal classification (POP-MUSIC)

Abstract

Proper Orthogonal Projection - Multiple signal classification (POP-MUSIC) is introduced. Two spectral estimates are derived using geometrical approach based on POP-MUSIC which appear to be the counterparts of the Maximum Likelihood (ML) spectral estimate and Linear Prediction (LP) spectral estimate. POP-MUSIC based on linear prediction (POP-MUSIC-LP) provides a superior resolution compared to POP-MUSIC based on maximum likelihood (POP-MUSIC-ML), and this is justified mathematically. Quantitative measures such as degrading factor due to spurious peaks (F) and sharpness factor (Y) are introduced to facilitate the comparative performance of the spectral estimates. A systolic array structure which is suitable for VLSI implementation is given for adaptive estimation of the cross spectral density matrix and the POP-MUSIC spectral estimation. Computer simulation is presented.

Authors

Dahanayake B; Wong K

Volume

11

Pagination

pp. 2491-2494

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 1986

DOI

10.1109/icassp.1986.1168698

Name of conference

ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing
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