Robust Adaptive Filtering Based on Exponential Functional Link Network

• URL: http://arxiv.org/abs/2102.02952v1
• Date: Fri, 5 Feb 2021 01:49:51 GMT
• Title: Robust Adaptive Filtering Based on Exponential Functional Link Network
• Authors: T. Yu, W. Li, Y. Yu and R. C. de Lamare
• Abstract summary: The exponential functional link network (EFLN) has been recently investigated and applied to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a novel inverse square root (ISR) cost function.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The exponential functional link network (EFLN) has been recently investigated and applied to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a novel inverse square root (ISR) cost function, called the EFLN-ISR algorithm, whose learning capability is robust under impulsive interference. The steady-state performance of EFLN-ISR is rigorously derived and then confirmed by numerical simulations. Moreover, the validity of the proposed EFLN-ISR algorithm is justified by the actually experimental results with the application to hysteretic nonlinear system identification.

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