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由于受多径传输和有限带宽的影响,无线信道不可避免地存在码间干扰和信道间干扰。盲均衡技术是一种不需要训练序列就能补偿信道畸变的新兴自适应均衡技术。文中从Bussgang类盲均衡原理出发,讨论了属于Bussgang类的CMA盲均衡算法,并利用Simulink对算法进行了仿真。从仿真结果可看出步长对算法收敛性能和精度的影响,步长越小,收敛速度越慢,但稳态误差越小;反之亦然。
Due to multipath transmission and limited bandwidth, wireless channels inevitably have intersymbol interference and inter-channel interference. Blind equalization is a new adaptive equalization technique that compensates for channel distortion without the need of training sequences. Based on the principle of Bussgang blind equalization, this paper discusses the CMA blind equalization algorithm belonging to Bussgang class and simulates the algorithm by using Simulink. From the simulation results, it can be seen that the step size has an impact on the convergence performance and accuracy of the algorithm. The smaller the step size, the slower the convergence rate, but the smaller the steady-state error; and vice versa.