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Robust Affine Projection Tanh Algorithm and Its Performance Analysis
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DOI：10.1016/j.sigpro.2022.108749.png)
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摘要
En 中文
The affine projection algorithm (APA) suffers from performance degradation when dealing with non -Gaussian noises. To address this issue, a novel robust affine projection tanh algorithm (APTA) has been proposed according to a new constructed constraint optimization model with the smoothed and bounded tanh function. Generally, it is difficult to analyze the performance of APTA, since the error vector con-strained by the nonlinear function cannot be extracted directly. Therefore, a vector-formed Taylor series expansion is first constructed to decompose the tanh error vector. Then, the steady-state performance, mean and mean-square stability conditions, and transient performance of APTA are carried out for per-formance analyses. Finally, simulation results verify the effectiveness of theoretical analyses and the su-periority of APTA from the aspects of filtering accuracy and robustness.(c) 2022 Elsevier B.V. All rights reserved.
Keyword:
Affine projection
Smoothed and bounded tanh function
Vector-formed Taylor series expansion
Steady-state performance
Stability
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3.6
论文数:
10.0K
被引数:
1.7W
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SIGNAL-PROCESSING WITH FRACTIONAL LOWER ORDER MOMENTS - STABLE PROCESSES AND THEIR APPLICATIONS.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
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