ABSTRACT
To improve the performance of underwater acoustic (UWA) estimation under impulse noise, this paper proposes a noise robust variable step-size APMCC (RVSS-APMCC) algorithm. The algorithm combines the improved modified Gaussian function to establish the correlation among the error signal and the step-size. Under impulse noise, simulation results of UWA estimation indicate that the RVSS-APMCC algorithm has faster channel estimation speed, higher estimation accuracy and stronger channel tracking ability.
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- Zhengxiong Jiang, Yingsong Li, and Xinqi Huang. 2019. A Correntropy-Based Proportionate Affine Projection Algorithm for Estimating Sparse Channels with Impulsive Noise. Entropy 21, 6 (2019), 555. https://doi.org/10.3390/e21060555Google ScholarCross Ref
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