DCD-Based Recursive Adaptive Algorithms Robust Against Impulsive Noise

DCD-Based Recursive Adaptive Algorithms Robust Against Impulsive Noise
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DOI：
10.1109/tcsii.2019.2936407
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发表时间：
2020-07
期刊：
IEEE Transactions on Circuits and Systems II: Express Briefs
影响因子：
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通讯作者：
Yi Yu;Lu Lu-Lu;Zongsheng Zheng;Wenyuan Wang;Y. Zakharov;R. C. de Lamare
Yi Yu;Lu Lu-Lu;Zongsheng Zheng;Wenyuan Wang;Y. Zakharov;R. C. de Lamare
中科院分区：
其他
文献类型：
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作者：
Yi Yu;Lu Lu-Lu;Zongsheng Zheng;Wenyuan Wang;Y. Zakharov;R. C. de Lamare

文献摘要

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The dichotomous coordinate descent (DCD) algorithm has been successfully used for significant reduction in the complexity of recursive least squares (RLS) algorithms. In this brief, we generalize the application of the DCD algorithm to RLS adaptive filtering in impulsive noise scenarios and derive a unified update formula. By employing different robust strategies against impulsive noise, we develop novel computationally efficient DCD-based robust recursive algorithms. Furthermore, to equip the proposed algorithms with the ability to track abrupt changes in unknown systems, a simple variable forgetting factor mechanism is also developed. Simulation results for channel identification scenarios in impulsive noise demonstrate the effectiveness of the proposed algorithms.