A Fast Convergence Algorithm for Adaptive FIR Filters with Sparse Taps

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概要

• 論文の詳細を見る

• This paper proposes a fast convergence algorithm for adaptive FIR filters with sparse taps. Coefficient values and positions are simultaneously controlled. The proposed algorithm consists of two stages: flat-delay estimation and tapposition control with a constraint. The flat-delay estimation is carried out by estimating the significant dispersive region of the impulse response. The constrained tap-position control is achieved by imposing a limit on the new-tap-position search. Simulation results show that the proposed algorithm reduces the convergence speed by up to 85% over the conventional algorithms for a white signal input. For a colored signal, it also converges in % of the convergence time by the conventional algorithms. The proposed algorithm is applicable to adaptive FIR filters which are to model a path with long flat delay, such as echo cancelers for satellite-link communications.

• 一般社団法人電子情報通信学会の論文
• 1994-04-25

著者

• Ikeda Shigeji

  Radio Application Division Nec Corporation

• Sugiyama Akihiko

  Information and Media Processing Labs., NEC Corporation

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