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CCECE
2006
IEEE

Variable Step-Size Affine Projection Algorithm with a Weighted and Regularized Projection Matrix

9 years 12 months ago
Variable Step-Size Affine Projection Algorithm with a Weighted and Regularized Projection Matrix
This paper presents a forgetting factor scheme for variable step-size affine projection algorithms (APA). The proposed scheme uses a forgetting processed input matrix as the projection matrix of pseudo-inverse to estimate system deviation. This method introduces temporal weights into the projection matrix, which is typically a better model of the real error's behavior than homogeneous temporal weights. The regularization overcomes the ill-conditioning introduced by both the forgetting process and the increasing size of the input matrix. This algorithm is tested by independent trials with coloured input signals and various parameter combinations. Results show that the proposed algorithm is superior in terms of convergence rate and misadjustment compared to existing algorithms. As a special case, a variable step size NLMS with forgetting factor is also presented in this paper. Keywords--Adaptive signal processing, affine projection algorithms, variable step-size adaptive algorithms,...
Tao Dai, Andy Adler, Behnam Shahrrava
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CCECE
Authors Tao Dai, Andy Adler, Behnam Shahrrava
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