Robust Multitask Diffusion Affine Projection M-Estimate Algorithm: Design and Performance Analysis

The distributed estimation performance of multitask diffusion affine projection (AP) algorithm (MD-APA) will be greatly reduced under the impulsive noise interference. To overcome this defect, a robust MD-APA is derived by using M-estimate function (MD-APM) to resist the impulsive noise interference...

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Bibliographic Details
Published in:Circuits, systems, and signal processing systems, and signal processing, 2023, Vol.42 (1), p.540-563
Main Authors: Song, Pucha, Zhao, Haiquan, Ma, Lian-Jiang, Zhu, Yingying
Format: Article
Language:English
Subjects:
Algorithms
Circuits and Systems
Cooperation
Diffusion
Electrical Engineering
Electronics and Microelectronics
Engineering
Experiments
Instrumentation
Interference
Robustness
Signal processing
Signal,Image and Speech Processing
Simulation
Steady state
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Summary:The distributed estimation performance of multitask diffusion affine projection (AP) algorithm (MD-APA) will be greatly reduced under the impulsive noise interference. To overcome this defect, a robust MD-APA is derived by using M-estimate function (MD-APM) to resist the impulsive noise interference. The mean performance, mean square performance and steady-state performance of MD-APM algorithm are studied, and the convergence range of the step-size and the theoretical steady-state MSD are obtained. In addition, the computational complexity of MD-APM algorithm is analyzed in detail. Simulation experiments show that the proposed MD-APM algorithm has better estimation performance compared with MD-APA and MD-APSA under the impulsive noise interference, and its theoretical steady-state mean square deviation (MSD) can provide accurate prediction.
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-022-02140-1