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A new artificial neural network based adaptive non-linear equalizer for overcoming co-channel interference

机译:一种新的基于人工神经网络的自适应非线性均衡器,用于克服同信道干扰

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This paper describes a new approach for the decision feedback equalizer (DFE) based on the functional link neural network. The new structure termed the decision feedback functional link equalizer (DFFLE) is applied to the problem of adaptive equalization in the presence of ISI, additive white noise and co-channel interference. It is shown through simulation results for a severe amplitude distorted co-channel system, that the DFFLE provides significantly superior BER performance characteristics compared to the conventional linear transversal equalizer (LTE) and the non-linear radial-basis function neural network and feedforward functional link equalizer (FFLE) based structures.
机译:本文介绍了基于功能链路神经网络的判定反馈均衡器(DFE)的新方法。所谓的判定反馈功能链路均衡器(DFFLE)所谓的新结构应用于ISI,添加性白噪声和共信道干扰的适应性均衡问题。通过仿真结果示出了严格振幅失真的共信道系统,与传统的线性横向均衡器(LTE)和非线性径向函数神经网络和前馈功能链路相比,DFFLE提供了显着优越的BER性能特性基于均衡器(FFLE)的结构。

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