一种新的北斗/罗兰C组合导航滤波算法  

New Method in Compass/Loran-C integrated Navigation System

作　　者：刘志国[1] 廖守亿[1] 王仕成[1] 罗大成[1] 

机构地区：[1]西安第二炮兵工程学院301教研室,西安710025

出　　处：《系统仿真学报》2009年第7期1834-1837,共4页Journal of System Simulation

基　　金：总装预研演示验证专项

摘　　要：改造后的罗兰C系统可作为伪卫星,与国内已有的北斗系统进行组合导航,在2颗卫星、2个罗兰台构成四伪距定位的基本定位方程的基础上,推导了该组合导航系统的一种直接迭代算法,设计了一种噪声实时估计卡尔曼滤波定位算法,通过对系统噪声和量测噪声进行实时估计,使系统统计特性更符合实际情况,提高了算法的精度。跑车试验定位结果表明,采用所设计的改进卡尔曼滤波算法后,定位结果得到明显改善。Loran-C could be reconstructed as a pseudo-satellite, so it can measure the pseudo-range. Compass and Loran-C could be integrated as a system to accomplish the three-dimension navigation task passively. The basic orientation and navigation equations of the integrated system were deducted Traditional Kalman filter results maybe inaccurate or even diverge as the models are inaccurate. A new method was adopted to evaluate the system-noise-variance and measurement-noise-variance in real time. The results show that the accuracy of horizontal and altitudinal can be improved. This algorithm can also be extended to other navigation system.

关 键 词：组合导航 北斗卫星 罗兰C 伪距 卡尔曼滤波 

分 类 号：TN911[电子电信—通信与信息系统] V448[电子电信—信息与通信工程]