1. Robust Adaptive Volterra Filter Under Maximum Correntropy Criteria in Impulsive Environments.
- Author
-
Wang, Wenyuan, Zhao, Haiquan, and Chen, Badong
- Subjects
ADAPTIVE filters ,VOLTERRA equations ,NONLINEAR differential equations ,GAUSSIAN function ,ADAPTIVE filter design & construction - Abstract
As a robust adaptation criterion, the maximum correntropy criterion (MCC) has gained increased attention due to its successful application in the adaptation, especially in nonlinear and non-Gaussian situations. In this paper, the second-order Volterra (SOV) filter based on MCC is derived, which is called MCC-SOV. It combines the advantages of the SOV filter and MCC. However, similar to the conventional adaptive algorithm, the proposed MCC-SOV filter has a tradeoff between convergence rate and steady-state error. In order to solve this problem, we present a combination of the MCC-SOV filter by combining Volterra kernels, which is called CK-MCC-SOV. In addition, a weight transfer method is applied to improve the performance of the proposed filter in terms of the convergence rate and the steady-state error. Finally, simulations are carried out to demonstrate the advantages of the proposed filters. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF