基于自适应补充Kalman滤波的平滑伪距算法  

Algorithm of Smoothing Pseudorange Based on Adaptive and Complementary Kalman Filtering

作　　者：卢超[1] 卢艳娥[1] 张业旺[1] 

机构地区：[1]空军工程大学电讯工程学院,西安710077

出　　处：《火力与指挥控制》2012年第11期46-48,共3页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(61071014)

摘　　要：为了得到较为精确的伪距值,现提出一种采用自适应补充卡尔曼滤波进行相位平滑伪距的算法,该算法既利用了载波相位平滑伪距的思想,又对观测噪声和载波相位差值方差进行了估计,并给出了相应的数学解算过程。仿真结果表明,利用该算法得到的伪距双差值相对于其他算法最小,利用其平滑后的伪距用于定位,得到的结果相对于其他算法也最稳定。In order to get the more precise pseudorange, an algorithm of smoothing pseudorange is submitted by using carrier phase based on the adaptive and complementary kalman filtering. The algorithm uses the thought of smoothing pseudorange by using phase, estimates the characteristics of the observed noise and the variance of the carrier phase D-value, gives the solution of the corresponding mathematical process. The simulation results show the double differenced measurement of the pseudorange obtained by the algorithm is minimum relative to other algorithms, the locating result obtained by the algorithm is the most stable too relative to other algorithms.

关 键 词：载波相位 自适应 补充卡尔曼滤波 

分 类 号：TN967.1[电子电信—信号与信息处理]