Then we establish the system model and make the simulation experiments . it is shown that the performance of the algorithm is better than that of the conventional rake receiver combining the same number of multipath components and approaches that of an adaptive receiver in the decision - directed following training 建立了改进算法的系统模型，进行了仿真实验，结果表明mlccma算法比采用合并多径成分的传统rake接收机的性能优越，而接近于使用学习序列的直接判决算法的自适应接收机的性能。
