Open AccessThe Data‐Reusing MCC‐Based Algorithm and Its Performance Analysis
Author(s) -
Liu Chunhui,
Qi Yue,
Ding Wenrui
Publication year - 2016
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.06.019
Subject(s) - computer science , algorithm , reuse , engineering , waste management
Maximum correntropy criterion (MCC) provides a robust optimality criterion for non‐Gaussian signal processing. In this paper, the weight update equation of the conventional MCC‐based adaptive filtering algorithm is modified by reusing the past K input vectors, forming a class of data‐reusing MCC‐based algorithm, called DRMCC algorithm. Comparing with the conventional MCCbased algorithm, the DR‐MCC algorithm provides a much better convergence performance when the input data is correlated. The mean‐square stability bound of the DRMCC algorithm has been studied theoretically. For both Gaussian noise case and non‐Gaussian noise case, the expressions for the steady‐state Excess mean square error (EMSE) of DR‐MCC algorithm have been derived. The relationship between the data‐reusing order and the steadystate EMSEs is also analyzed. Simulation results are in agreement with the theoretical analysis.