基于KALMAN滤波的LAMBDA方法研究  

Study of LAMBDA Method Based on KALMAN Filter

作　　者：张海宁[1] 刘超[2] 

机构地区：[1]内江师范学院地理与资源科学学院,四川内江641199 [2]安徽理工大学测绘学院,安徽淮南232001

出　　处：《内江师范学院学报》2014年第4期62-65,共4页Journal of Neijiang Normal University

基　　金：国家自然科学基金资源项目(41104005;41171343);安徽省自然科学基金资助项目(1308085QD71)

摘　　要：利用经典最小二乘方法对静态GPS观测数据进行处理,需要对所有历元整体平差计算,运算的速度和效率非常低下;引入KALMAN滤波方法将很大程度上减少数据的存储空间,提高运算的效率;通过试验分析,证明KALMAN滤波方法可以代替最小二乘方法进行整周模糊度浮点解的求解,从而提高了LAMBDA方法固定整周模糊度的速度和效率.The treatment of static GPS data by use of the Classic Least Square method needs to calculate all the integral adjustments which is blamed for its inefficient velocity and poor efficiency of the computation. The method of KALMAN filter could immensely decrease the data memory space, and improve the computational efficiency; through experimental analysis, it is proven that the KALMAN filter method can well replace the method to seek the float solution of integer ambiguity, thus can greatly enhance the velocity and efficiency of the LAMBDA method to seek the fixed integer ambiguity.

关 键 词：最小二乘方法 KALMAN滤波 LAMBDA方法 

分 类 号：P228.4[天文地球—大地测量学与测量工程]