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

LIU Chunhui; QI Yue; DING Wenrui

doi:10.1049/cje.2016.06.019

Volume 25 Issue 4

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Article Navigation > Chinese Journal of Electronics > 2016 > 25(4): 719-725

LIU Chunhui, QI Yue, DING Wenrui. “The Data-Reusing MCC-Based Algorithm and Its Performance Analysis”. Chinese Journal of Electronics, vol. 25 no. 4. doi: 10.1049/cje.2016.06.019

Citation:

LIU Chunhui, QI Yue, DING Wenrui. “The Data-Reusing MCC-Based Algorithm and Its Performance Analysis”. Chinese Journal of Electronics, vol. 25 no. 4. doi: 10.1049/cje.2016.06.019

LIU Chunhui, QI Yue, DING Wenrui. “The Data-Reusing MCC-Based Algorithm and Its Performance Analysis”. Chinese Journal of Electronics, vol. 25 no. 4. doi: 10.1049/cje.2016.06.019

Citation:

LIU Chunhui, QI Yue, DING Wenrui. “The Data-Reusing MCC-Based Algorithm and Its Performance Analysis”. Chinese Journal of Electronics, vol. 25 no. 4. doi: 10.1049/cje.2016.06.019

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

doi: 10.1049/cje.2016.06.019

1.
Research Institute of Unmanned Aerial Vehicle, Beihang University, Beijing 100191, China;
2.
State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China

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

Abstract

Abstract

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.
- Adaptive filtering,
- Maximum correntropy criterion (MCC),
- Data-reusing,
- Mean-square stability,
- Steady-state excess mean square error

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References(18)

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