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Performance evaluation of the transversal filter equalizer using ZF and LMS algorithm

机译:ZF和LMS算法横向滤波器均衡器的性能评估

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In practical digital communication systems, the equalizer in the receiver is generally used to compensate for the distortion induced from the communication channels. We construct a channel estimation model for a linear equalizer and evaluate the performance of the equalizer with the ZF (zero-forcing) and LMS (least mean square) algorithm using a specified channel characteristic. From the simulation results, both the ZF and LMS algorithm with 11 taps compensate perfectly the channel-induced distortion known as intersymbol interference.
机译:在实际数字通信系统中,接收器中的均衡器通常用于补偿从通信信道引起的失真。我们构建用于线性均衡器的信道估计模型,并使用指定的信道特性评估均衡器的性能与ZF(零强制)和LMS(最小均方)算法。从仿真结果来看,ZF和LMS算法两者都是具有11个抽头的完美沟道诱导的失真,称为Intersymbol干扰。

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