SUBBAND ADAPTIVE FILTERING USING A MULTIPLE-CONSTRAINT OPTIMIZATION CRITERION (ThuPmPO3)

Author(s) : Kong-Aik Lee (Nanyang Technological University, Singapore) Woon-Seng Gan (Nanyang Technological University, Singapore) Yuan Wen (Nanyang Technological University, Singapore)

Abstract : In this paper we propose a new design criterion for subband adaptive filters (SAFs). The proposed multiple-constraint optimization criterion is based on the principle of minimal disturbance, where the multiple constraints are imposed on the updated subband filter outputs. Compared to the classi-cal fullband least-mean-square (LMS) algorithm, the sub-band adaptive filtering algorithm derived from the proposed criterion exhibits faster convergence under colored excita-tion. Furthermore, the recursive tap-weight adaptation can be expressed in a simple form comparable to that of the normalized LMS (NLMS) algorithm. We also show that the proposed criterion is related to another known weighted criterion. The efficacy of the proposed criterion and algo-rithm are examined and validated via mathematical analysis and simulation.

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