为解决原始多路径误差序列中的噪声干扰,引入最小均方滤波算法,通过选择合适的滤波器长度和步长参数,对原始多路径误差序列进行滤波,结果显示:该算法可以有效地分离真实多路径误差序列和噪声,从而最大限度地削弱多路径效应的影响,使多路径误差改正率维持在80％以上.%Code Minus Carrier method can be used to estimate the primary multipath error in a certain accuracy level. Howerer there is still strong noise in the esitmated results of multipath. In order to solve the problem, Least Mean Squares ( LMS) method is proposed for filtering the primary multipath error by setting appropriate filter length and step-size parameter. Taking the advantage of repeating feature, LMS method can separate real multipath error from the estimated serial effectively. The numerical example shows that multipath effect can be reduced significantly and the percentage of multipath error correction can reach more than 80% , which will provide accurate model cor rection for navigation and positioning of user.
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