机构地区: 电子科技大学中山学院
出 处: 《电讯技术》 2007年第5期24-27,共4页
摘 要: 提出了一种新的信道估计最小均方(LMS)盲方法时变步长理想加权判决信道估计盲方法。该方法通过对常规LMS算法进行改进,实现自适应跟踪信道特征变化;同时利用接收机判决误差信息函数作为权系数的理想加权判决,从而解决了常规LMS盲方法收敛速度慢、信道估计性能不高的缺点。仿真证明,对于不同的多普勒频移、时延扩展以及时间,该方法均表现出了比常规LMS方法更优的性能。同时,该方法还可用于航天、雷达等领域估计其他特征参数。 This paper proposes a blind Least Mean Square (LMS) scheme called time -varying convergence parameter and ideal decision weight LMS (TVCPIDWLMS) method. The novel scheme can trace adaptively the channel characteristics through time - varying gain design. And the ideal decision information function in receiver is also adapted to modify the channel characteristics. Simulation shows that the novel scheme has better performance with high accuracy and fast converges than that of the LMS method, especially via different Doppler frequency shift, time delay spread and time. Furthermore, the scheme can also be suitable to other areas such as aerospace and Radar to estimate other characteristic parameters.