标题 |
![]() 基于分数阶导数的最优自适应滤波算法
相关领域
自适应滤波器
算法
噪音(视频)
滤波器(信号处理)
滤波器设计
核自适应滤波器
白噪声
数学
噪音的颜色
控制理论(社会学)
计算机科学
线性滤波器
整数(计算机科学)
数学优化
人工智能
统计
控制(管理)
图像(数学)
计算机视觉
程序设计语言
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其它 | The previous work for the filter design considers uncorrelated white measurement noise disturbance. For more complex correlated noise disturbance, the conventional adaptive filter results in biased estimates. To overcome this problem, we introduce a linear prefilter to whiten the correlated noise (i.e., colored noise) for obtaining the unbiased estimate of the filter weight. Moreover, the design of some adaptive filters mainly focuses on the integer-order optimization methods. However, compared with the integer-order-based adaptive algorithms, the fractional-order-based algorithms show better performance. Thus, this letter develops a new gradient approach for the adaptive filter design based on the fractional-order derivative and a linear filter. Finally, the simulation results are provided from the system identification perspective for demonstrating the performance analysis of the proposed algorithms. |
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