A Family of Variable Step-Size Affine Projection Adaptive Filtering Algorithms with Selective Regressors and Selective Partial Updates

نویسندگان
Dastghaibyfard, G.H. ID 1
Sadreddini, M.H. ID 2
Deypir, M. ID 3

1 Department of Computer Science and Engineering,Shiraz University

2 Department of Computer Science and Engineering,Shiraz University

3 Department of Computer Science and Engineering,Shiraz University

doi
چکیده

This paper presents a family of Variable Step-Size (VSS) Ane Projection (AP) adaptive ltering algorithms with Selective Partial Updates (SPU) and Selective Regressors (SR). The presented algorithms have good convergence speed, low steady state Mean Square Error (MSE), and low computational complexity features. The stability bounds of the family of SPU-APA, SR-APA and SPU-SR-APA are analyzed, based on the energy conservation arguments. This analysis does not need to assume a Gaussian or white distribution for the regressors. We demonstrate the good performance of the proposed algorithms through simulations in system identi cation and acoustic echo cancellation scenarios. Keyword: Adaptive lter; Ane projection; Selective partial update; Selective regressor; Stability bound; Variable step-size.

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