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FIR fuzzy equalizer design for nonlinear channels LMI-based fuzzy approach

机译:基于LMI的非线性通道FIR模糊均衡器设计。

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摘要

In this paper an LMI based fuzzy methodology for nonlinear channel equalization from an H{sub}∞ perspective is proposed. According to Takagi-Sugeno (T-S) fuzzy modeling concept, the discrete-time nonlinear channel can be constructed by the piecewise linear subsystems. The FIR fuzzy equalizer design for nonlinear channel is transformed into a standard linear matrix inequality (LMI) optimization problem, and the coefficients of the equalizer are obtained by solving LMIs. Besides, the stability of T-S fuzzy system has been investigated based on Lyapunov approach. Finally, simulation result is given to demonstrate the effectiveness of the proposed methodology.
机译:本文从H {sub}∞的角度提出了一种基于LMI的非线性信道均衡模糊方法。根据Takagi-Sugeno(T-S)模糊建模概念,可以通过分段线性子系统构建离散时间非线性通道。将非线性信道的FIR模糊均衡器设计转化为标准的线性矩阵不等式(LMI)优化问题,并通过求解LMI获得均衡器的系数。此外,基于Lyapunov方法研究了T-S模糊系统的稳定性。最后,仿真结果证明了所提方法的有效性。

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