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Degradation of the tracking performance of adaptive filtering algorithms with data correlation

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1 Author(s)
Eweda, E. ; Mil. Tech. Coll., Cairo, Egypt

Degradation of the tracking performance of adaptive filtering algorithms with data correlation is analyzed. The analysis is done in the context of the identification of a randomly time varying plant. Five algorithms are considered. They are least mean square, recursive least squares, sign, signed regressor, and sign-sign algorithms. The analysis is done in terms of the steady-state excess mean-square error and the steady-state mean-square weight misalignment. The degradation measure adopted is the ratio of the performance index for correlated data to that for white data

Published in:

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on  (Volume:47 ,  Issue: 6 )

Date of Publication:

Jun 2000

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