Performance analysis of sign-sign algorithm for transversal adaptive filters

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The sign-sign algorithm (SSA), which is obtained by clipping both the reference input and the estimation error of the least mean square (LMS) algorithm, is analysed for transversal adaptive filters with correlated Gaussian data. The analysis focuses on the expected behaviours of the filter coefficients and the mean square error of the filter. The previous analysis of this type for the SSA is based on the assumption that the input data of adaptive filters are independent, identically distributed Gaussian, but this restriction is removed in our analysis. The analytical results are verified numerically through computer simulations for two examples - an adaptive linear predictor and an adaptive system identification. (C) 1997 Elsevier Science B.V.
Publisher
ELSEVIER SCIENCE BV
Issue Date
1997-11
Language
English
Article Type
Article
Keywords

CONVERGENCE ANALYSIS; LMS

Citation

SIGNAL PROCESSING, v.62, pp.323 - 333

ISSN
0165-1684
DOI
10.1016/S0165-1684(97)00133-3
URI
http://hdl.handle.net/10203/69635
Appears in Collection
EE-Journal Papers(저널논문)
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