On the Development of a New Adaptive Channel Equalizer using Bacterial Foraging Optimization Technique

B. Majhi, G. Panda, A. Choubey
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引用次数: 37

Abstract

High speed data transmission over communication channels distort the transmitted signals in both amplitude and phase due to presence of inter symbol interference (ISI). Other impairments like thermal noise, impulse noise and cross talk also cause further distortions to the received symbols. Adaptive equalization of the digital channels at the receiver removes/reduces the effects of such ISIs and attempts to recover the transmitted symbols. The multilayer perceptron (MLP), fuzzy logic (FL) and radial basis function (RBF) based equalizers are relatively new soft computing based equalizers which aim to minimize the ISI present in the channels particularly for nonlinear channels. However they suffer from long training time and undesirable local minima. In the present paper we propose a new adaptive channel equalizer using a novel bacterial foraging optimization (BFO) technique which is essentially a derivative free optimization tool. This algorithm has been suitably used to update the weights of the equalizer. The performance of the proposed equalizer has been evaluated and has been compared with its LMS based counter part. It is observed that the new equalizer offers improved performance both in terms of rate of convergence as well as bit-error-rate
基于细菌觅食优化技术的自适应信道均衡器的研制
由于码间干扰(ISI)的存在,在通信信道上进行高速数据传输会使传输信号的幅度和相位发生畸变。热噪声、脉冲噪声和串扰等其他损伤也会对接收到的符号造成进一步的失真。在接收机的数字信道的自适应均衡消除/减少这种ISIs的影响,并试图恢复传输的符号。基于多层感知器(MLP)、模糊逻辑(FL)和径向基函数(RBF)的均衡器是相对较新的基于软计算的均衡器,其目的是最小化信道中存在的ISI,特别是对于非线性信道。但是训练时间长,局部最小值不理想。在本文中,我们提出了一种新的自适应信道均衡器,该均衡器采用一种新的细菌觅食优化(BFO)技术,本质上是一种无导数优化工具。该算法已被适当地用于更新均衡器的权重。对均衡器的性能进行了评价,并与基于LMS的计数器部分进行了比较。观察到,新的均衡器在收敛率和误码率方面都提供了改进的性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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