LIU Chunhui, QI Yue, DING Wenrui. The Data-Reusing MCC-Based Algorithm and Its Performance Analysis[J]. Chinese Journal of Electronics, 2016, 25(4): 719-725. doi: 10.1049/cje.2016.06.019
Citation: LIU Chunhui, QI Yue, DING Wenrui. The Data-Reusing MCC-Based Algorithm and Its Performance Analysis[J]. Chinese Journal of Electronics, 2016, 25(4): 719-725. doi: 10.1049/cje.2016.06.019

The Data-Reusing MCC-Based Algorithm and Its Performance Analysis

doi: 10.1049/cje.2016.06.019
Funds:  This work is supported by the National Natural Science Foundation of China (No.61450008, No.61272348, No.61572054).
  • Received Date: 2015-04-07
  • Rev Recd Date: 2015-08-07
  • Publish Date: 2016-07-10
  • 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 DR-MCC algorithm. Comparing with the conventional MCC-based algorithm, the DR-MCC algorithm provides a much better convergence performance when the input data is correlated. The mean-square stability bound of the DR-MCC 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 steady-state EMSEs is also analyzed. Simulation results are in agreement with the theoretical analysis.
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