Recursive Constrained Sine Second-Order Error Promoting Adaptive Algorithm

This brief proposes a recursive constrained sine second-order error promoting adaptive (RCSSOEPA) algorithm. Compared with classical recursive method, the RCSSOEPA algorithm can achieve better steady state performance in impulsive-noise. In general, the sine second-order error (SSOE) is constructed...

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Bibliographic Details
Published inIEEE transactions on circuits and systems. II, Express briefs p. 1
Main Authors Chen, Yong, Li, Yingsong, Miao, Yongchun, Zakharov, Yuriy, Huang, Zhixiang
Format Journal Article
LanguageEnglish
Published IEEE 2024
Subjects
Adaptive systems
Convergence
Gaussian noise
Impulsive-noise
Optimized production technology
Recursive constrained adaptive filtering (RCAF)
Signal processing algorithms
Sine second-order error (SSOE)
Steady-state
System identification
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Summary:This brief proposes a recursive constrained sine second-order error promoting adaptive (RCSSOEPA) algorithm. Compared with classical recursive method, the RCSSOEPA algorithm can achieve better steady state performance in impulsive-noise. In general, the sine second-order error (SSOE) is constructed to devise a new recursive constrained adaptive-filtering within the least-squares framework for solving linear constrained optimization problems. The mean-square (MS) stability of the RCSSOEPA and its theoretical instantaneous MS deviation under Gaussian and non Gaussian noise are analyzed, numerically investigated and discussed in detail. Simulated results are reported to give a comfirmation of the theoretical analysis, and show that the RCSSOEPA outperforms recent developed constrained adaptive filtering algorithms in the estimation misalignment and when used for system identification under impulsive-noise.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2023.3275979