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- Title
Robust Adaptive Volterra Filter Under Maximum Correntropy Criteria in Impulsive Environments.
- Authors
Wang, Wenyuan; Zhao, Haiquan; Chen, Badong
- 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.
- Subjects
ADAPTIVE filters; VOLTERRA equations; NONLINEAR differential equations; GAUSSIAN function; ADAPTIVE filter design &; construction
- Publication
Circuits, Systems & Signal Processing, 2017, Vol 36, Issue 10, p4097
- ISSN
0278-081X
- Publication type
Article
- DOI
10.1007/s00034-017-0502-0