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

机译:使用ZF和LMS算法的横向滤波器均衡器性能评估

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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:在实际的数字通信系统中,接收机中的均衡器通常用于补偿由通信信道引起的失真。我们为线性均衡器构建了一个信道估计模型,并使用指定的信道特性,使用ZF(零强迫)和LMS(最小均方)算法评估了均衡器的性能。从仿真结果来看,具有11个抽头的ZF和LMS算法均可以完美补偿信道引起的失真,即码间干扰。

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