Optimal step-size of pseudo affine projection algorithm

Yong-Feng Zhi, Fang-Fang Shang, Jun Zhang and Zhen Wang

Applied Mathematics and Computation, 2016, vol. 273, issue C, 82-88

Abstract: A new statistical analysis model is used to analyze the pseudo affine projection (PAP) algorithm with the optimal step-size in this paper. By setting the weight error to be zero in the direction of the adaptive weight update, the optimal step-size is obtained. Two assumptions for the direction vector are proposed, which simplify the analysis of the convergence behavior for the optimal step-size PAP algorithm. Under this condition, deterministic recursive equations for the weight error and for the mean-square error are derived in the direction of the adaptive weight update. Simulation results are provided to corroborate the analytical results.

Keywords: Adaptive filter; Pseudo affine projection (PAP) algorithm; Statistical analysis; Optimal step-size (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:273:y:2016:i:c:p:82-88

DOI: 10.1016/j.amc.2015.09.059

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