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根据数字蜂房移动通信的信号传输过程建立了一种时变的ＦＩＲ信道模型，在此模型基础上，研究了一种新的自适应均衡方法，它基于系统辨识原理，采用改进的归一化变步长最小均方误差（ＭＮＶＳＬＭＳ）算法，克服由于多径效应引起的码间干扰（ＩＳＩ）．计算机模拟实验表明，本文提出的ＭＮＶＳ算法其跟踪性能明显优于ＮＶＳ和传统的ＬＭＳ算法，且运算量小，具有良好的实用性．
According to the signal transmission process of digital cellular mobile communication, a time-varying FIR channel model is established. Based on this model, a new adaptive equalization method is proposed. Based on the principle of system identification, an improved normalized variable Minimal Mean Square Error (MNVSLMS) algorithm to overcome intersymbol interference (ISI) due to multipath effects. Computer simulation results show that the MNVS algorithm proposed in this paper has better tracking performance than NVS and traditional LMS algorithms, and has a low computational complexity and good practicability.