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无线数据通信过程中的多径效应容易造成码间干扰,而且由于通信载体以及通信周围物体的运动,导致这种码间干扰也在随时间变化而变化。在通信系统中采用均衡技术是改善信道特性解决码间干扰之有效的方法,为此文中从时域均衡原理出发,讨论了基于LMS自适应均衡算法,并利用Matlab对算法进行了仿真。从仿真结果可以从看出步长对算法收敛性能和精度的影响,步长越小,平均误差越小,但收敛速度越慢;反之亦然。
The multipath effect in wireless data communication can easily cause intersymbol interference, and due to the movement of the communication carrier and the objects around the communication, the intersymbol interference also changes with time. In the communication system, the equalization technique is an effective method to improve the channel characteristics to solve the intersymbol interference. In this paper, based on the principle of time-domain equalization, the LMS adaptive equalization algorithm is discussed and the algorithm is simulated by Matlab. From the simulation results, we can see the influence of the step size on the convergence performance and accuracy of the algorithm. The smaller the step size is, the smaller the average error is, but the slower the convergence rate is, and vice versa.