| 自适应加权FIR-Myriad混合滤波算法 |
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| 引用本文： | 林斌,王旭东,张成榆,夏志忠,王百锁. 自适应加权FIR-Myriad混合滤波算法[J]. 电波科学学报, 2006, 21(5): 788-790,801 |
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| 作者姓名： | 林斌 王旭东 张成榆 夏志忠 王百锁 |
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| 作者单位： | 1. 大连海事大学,信息工程学院,辽宁,大连116026
2. 大连海事大学,信息工程学院,辽宁,大连116026;西安电子科技大学,天线与微波技术国家重点实验室,陕西,西安,710071 |
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| 摘 要： | 针对FIR滤波器滤除脉冲噪声以及加权Myriad滤波器滤除高斯噪声的不足,提出基于FIR滤波器和加权WMy滤波器有效组合的一类新的非线性滤波器FIR-WMyH滤波器.利用神经网络中的反向传播算法,在均方误差准则下,推导了一个基于统计梯度的自适应算法.基于稳定α分布脉冲噪声模型下的仿真结果说明了该算法的良好的性能.
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| 关 键 词： | 最小均方误差准则 Myriad滤波器 反向传播算法 脉冲噪声 非线性滤波器 |
| 文章编号： | 1005-0388（2006）05-0788-04 |
| 收稿时间： | 2005-04-21 |
| 修稿时间： | 2005-04-21 |
Adaptive weighted FIR-Myriad hybrid filter algorithm |
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| LIN Bin,WANG Xu-dong,ZHANG Cheng-yu,XIA Zhi-zhong,WANG Bai-suo. Adaptive weighted FIR-Myriad hybrid filter algorithm[J]. Chinese Journal of Radio Science, 2006, 21(5): 788-790,801 |
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| Authors: | LIN Bin WANG Xu-dong ZHANG Cheng-yu XIA Zhi-zhong WANG Bai-suo |
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| Abstract: | A new class of nonlinear filters called as the weighted FIR-Myriad hybrid (FIR-WMyH) filters were proposed. These filters can overcome the disadvantages of FIR filter and weighted Myriad filter. Through the back-propagation algorithm used in neural networks, a stochastic gradient-based adaptive algorithm for determining optimal FIR-WMyH filters under the mean square error (MSE) criterion is derived. In the case of the stable distributed impulsive noise model, the good performance of this adaptive algorithm is demonstrated through the computer simulation results. |
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| Keywords: | minimum square error criterion(MSE) weighted Myriad filter back propagation algorithm(BP) impulsive noise nonlinear filter |
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