LMS自适应滤波算法改进及其在连线干涉测量中的应用  

An Improved LMS Adaptive Filtering Algorithm and Its Application to Connected Elements Interferometry

作　　者：杨文革 沈晖[2] 杨婷[2] 路伟涛[3] 

机构地区：[1]装备学院,北京101416 [2]酒泉卫星发射中心,酒泉732750 [3]北京航天飞行控制中心,北京100094

出　　处：《遥测遥控》2016年第5期49-57,共9页Journal of Telemetry,Tracking and Command

基　　金：总装试验技术研究项目(2011SY41A7001)

摘　　要：对航天测控信号进行滤波处理将有利于提高系统的测量性能。连线干涉测量以载波时延为测量量,所以其测量精度与载波差分相位估计性能直接相关,而该性能主要受近载频噪声的影响。提出采用LMS自适应滤波算法对测控信号进行滤波处理以提高载波差分相位估计精度的思路。首先给出基于LMS自适应滤波算法的相位估计方案,并分析其可行性和存在的问题;然后提出基于余弦函数的改进LMS自适应滤波算法,最后将改进算法应用于CEI测量仿真和观测试验中。蒙特卡罗仿真和实测数据处理表明,改进的LMS自适应滤波算法优于原算法,在同样数据处理长度下,滤波处理后载波差分相位估计精度提高了约一倍,这在航天测控中具有重要意义。Filtering process is beneficial to improve the measuring performance of TT＆C system. Because the carrier delay is taken as the measuring parameter of Connected Elements Interferometry （CEI）, the difference phase which is mainly affected by the noise near carrier frequency is directly related to the measuring accuracy of CEI. The idea that uses Least Mean Square （LMS） adaptive filtering algorithm on the TT＆C signals to improve the estimation performance of difference phase is proposed. Firstly, the estimation scheme based on LMS adaptive filtering algorithm is established and its feasibility and problems are analyzed. Then, the LMS adaptive filtering algorithm is improved by adopting Cosine function. Finally, the improved algorithm is applied to CEI simulation and observation experiment. Results show that the estimation accuracy of difference phase increases one time, which has great significance for TT＆C system.

关 键 词：连线干涉测量 LMS自适应滤波算法 差分相位 余弦函数 

分 类 号：TN822[电子电信—信息与通信工程]