| 一种变正则化矩阵的改进多带结构子带自适应滤波算法 |
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| 引用本文： | 闫震海,杨飞然,杨军.一种变正则化矩阵的改进多带结构子带自适应滤波算法[J].电子学报,2017,45(8). |
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| 作者姓名： | 闫震海 杨飞然 杨军 |
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| 作者单位： | 1. 中国科学院噪声与振动重点实验室(声学研究所),北京 100190;中国科学院大学,北京 100049;2. 中国科学院噪声与振动重点实验室(声学研究所),北京,100190 |
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| 基金项目： | 国家自然科学基金，中国科学院先导专项项目 |
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| 摘 要： | 定正则化因子的改进多带结构子带自适应滤波(IMSAF)算法在取得收敛速度快和稳态失调误差小之间存在冲突.根据系统噪声抵消原理,设定子带后验误差功率等于子带噪声功率,本文提出了变正则化矩阵的IMSAF算法来解决这一问题.仿真结果证明,所提算法可以同时达到收敛速度快、稳态失调误差小以及追踪速度快等优势.
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| 关 键 词： | 自适应滤波 改进的多带结构子带自适应滤波器 变正则化矩阵 |
A Variable Regularization Matrix for the Improved Multiband-Structured Subband Adaptive Filter |
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| YAN Zhen-hai,YANG Fei-ran,YANG Jun.A Variable Regularization Matrix for the Improved Multiband-Structured Subband Adaptive Filter[J].Acta Electronica Sinica,2017,45(8). |
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| Authors: | YAN Zhen-hai YANG Fei-ran YANG Jun |
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| Abstract: | The conflict between fast convergence rate and small steady-state misadjustment is a problem of the improved multiband-structured subband adaptive filter (IMSAF) algorithm with a fixed regularization factor.Based on the principle of minimizing the system noise,the power of the subband posteriori error is assumed to equal the power of the subband noise.Under this assumption a variable regularization matrix for the IMSAF algorithm is proposed to solve this problem.Simulation results show that the proposed method is superior to the IMSAF algorithm in terms of convergence rate,steady-state misadjustment and tracking capability. |
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| Keywords: | adaptive filtering improved multiband-structured subband adaptive filter (IMSAF) variable regularization matrix |
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