呼叫中心系统中回声抵消算法的研究与实现

摘要

LMS( Least Mean Square) algorithm has been studied for the echo problem of IP call center. The study shows that there is a contradiction between the convergence rate and steady-state error. In other words, speeding up the convergence rate, the steady-state error will be increased; reducing steady-state error, the convergence rate will be slow. The purpose of study is to improve the contradiction and better eliminate echo. A new LMS algorithm is proposed. The algorithm is simulated by using computer, and echo is eliminated by using DSP. Result is that this algorithm has good convergence and steady-state performance. It can better improve the contradiction between the convergence speed and steady-state error, and the elimination result is good.%针对IP呼叫中心系统中的回声问题,对算法LMS(Least Mean Square)进行了研究.经研究发现,回声消除算法LMS在收敛速度与稳态误差之间始终存在着矛盾,即加快收敛速度,则稳态误差随之加大；减小稳态误差,则收敛速度随之减慢.研究的目的就是能够使两者之间的矛盾得到改善,能够更好地消除回声.研究的方法是在现有算法的基础上,提出了一种改进的LMS算法,通过计算机对该算法进行了仿真,以及利用DSP进行了回声消除,结论表明该算法具有良好的收敛性能和稳态性能,更好地改善了收敛速度与稳态误差之间的矛盾,消除效果较好.