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论文:2020,Vol:38,Issue(5):944-951 |
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引用本文: |
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王磊, 陈克安, 胥健, 田旭华. 分布式FxLMS算法的收敛特性分析[J]. 西北工业大学学报 |
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WANG Lei, CHEN Kean, XU Jian, TIAN Xuhua. Analyzing Convergence of Distributed FxLMS Algorithm[J]. Northwestern polytechnical university |
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分布式FxLMS算法的收敛特性分析 |
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王磊, 陈克安, 胥健, 田旭华 |
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西北工业大学 航海学院, 陕西 西安 710072 |
摘要: |
基于声学传感器网络的分布式FxLMS算法可以解决大规模有源噪声控制系统带来的运算量和复杂度剧增的问题。首先对分布式算法进行了理论推导。在基于传感器网络的ANC过程中,通过各节点之间权系数的实时通信代替了部分权系数的迭代。分析了算法平均以及均方意义下的收敛特性,并利用仿真进行了验证。最后,比较了不同算法的降噪效果。结果表明,在减少运算量的基础上,分布式算法能够获得与集中式ANC系统一致的性能。 |
关键词:
有源噪声控制
分布式FxLMS
声传感器网络
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Analyzing Convergence of Distributed FxLMS Algorithm |
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WANG Lei, CHEN Kean, XU Jian, TIAN Xuhua |
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School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China |
Abstract: |
The distributed FxLMS algorithm based on acoustic sensor networks can solve the problem of the increased computational complexity caused by a large-scale active noise control (ANC) system. Firstly, the distributed algorithm is deduced theoretically. In the ANC process based on sensor networks, the iteration of partial weight coefficients is replaced by the real-time communication of weight coefficients among nodes. Then the convergence characteristics of the distributed algorithm in its mean and mean square senses are analyzed and verified with simulation. Finally, the noise reduction effects of different algorithms are compared. The results show that the distributed algorithm, with its computational complexity reduced, can achieve the same noise reduction effects as the centralized ANC system. |
Key words:
active noise control
computational complexity
distributed FxLMS algorithm
acoustic sensor networks
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收稿日期: 2019-06-27
修回日期:
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DOI: 10.1051/jnwpu/20203850944 |
基金项目: 电网环境保护国家重点实验室开放基金和国家自然科学基金(11974287)资助 |
通讯作者:
Email: |
作者简介: 王磊(1994-),西北工业大学博士研究生,主要从事有源噪声控制研究。
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陈克安 在本刊中的所有文章 |
胥健 在本刊中的所有文章 |
田旭华 在本刊中的所有文章 |
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参考文献: |
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