| 最大互相关熵多凸组合自适应滤波算法 |
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| 引用本文： | 卢明飞,彭思愿,陈霸东.最大互相关熵多凸组合自适应滤波算法[J].电子与信息学报,2021,43(2):263-269. |
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| 作者姓名： | 卢明飞 彭思愿 陈霸东 |
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| 作者单位： | 1.西安交通大学人工智能与机器人研究所 西安 7100492.南洋理工大学电气与电子工程学院 新加坡 639798 |
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| 基金项目： | 国家自然科学基金-深圳市联合研究项目(U1613219)，国家自然科学基金(91648208, 61976175) |
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| 摘 要： | 基于最大互相关熵准则(MCC)的自适应滤波算法在非高斯噪声环境下具有强鲁棒性,得到了广泛应用.然而,传统MCC滤波算法在选择参数时依然受到收敛速度与稳态精度之间固有矛盾的困扰.为解决这一问题,该文提出一类多凸组合MCC算法,能够充分发挥不同参数组合下滤波算法的性能优势,从而获得更好的信道跟踪能力.理论分析得出了所提算法...
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| 关 键 词： | 自适应滤波 信道估计 最大互相关熵准则 凸组合 |
| 收稿时间： | 2020-04-21 |
Convex Combination of Multiple Adaptive Filters under the Maximum Correntropy Criterion |
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| Mingfei LU,Siyuan PENG,Badong CHEN.Convex Combination of Multiple Adaptive Filters under the Maximum Correntropy Criterion[J].Journal of Electronics & Information Technology,2021,43(2):263-269. |
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| Authors: | Mingfei LU Siyuan PENG Badong CHEN |
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| Affiliation: | 1.Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an 710049, China2.School of Electronics and Information Engineering, Nanyang Technological University, 639798, Singapore |
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| Abstract: | The adaptive filtering algorithms under the Maximum Correntropy Criterion (MCC) show strong robustness against impulsive noises. The original MCC adaptive filter, however, still suffers from a compromise between convergence rate and misadjustment when choosing parameters. To address this issue, a convex combination approach is proposed in this paper, where multiple MCC adaptive filters with different step-sizes and kernel widths are combined together to yield fast convergence speed and lower misadjustment. Theoretical analysis on convergence of the new approach demonstrates that it can achieve more desirable performance than the original MCC adaptive filter as well as convex combination of two MCC adaptive filers with different step-sizes or kernel widths. Simulation results confirm the excellent performance of the new method. |
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