线性约束自适应滤波的鲁棒FLS算法

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing Pub Date : 1994-04-19 DOI:10.1109/ICASSP.1994.390010

L. Resende, J. Romano, M. Bellanger

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引用次数: 4

摘要

本文提出了一种鲁棒的线性约束自适应滤波FLS算法的实现方法。鲁棒性是通过一个额外的校正项来提供的，该校正项也由LS过程更新。实际上，该算法是经典的基于lms的Frost算法的LS版本。长数据输入序列的仿真结果表明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A robust FLS algorithm for linearly-constrained adaptive filtering

A robust approach to implement the FLS algorithm for linearly constrained adaptive filtering is derived in this work. The robustness is provided by means of an additional correcting term which is also updated by a LS procedure. In fact, the novel algorithm works as the LS version of the classical LMS-based Frost algorithm. Simulation results with a long data input sequence show the performance of the proposed technique.<>

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Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing

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