一种用于高动态全球定位系统信号跟踪的新模型  

A Novel Model for High Dynamic GPS Signal Tracking

作　　者：赵文骏[1] 茅旭初[1] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《上海交通大学学报》2014年第3期323-327,共5页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金(40674002);上海航天科技创新基金(D202)资助项目

摘　　要：针对传统全球定位系统(GPS)信号跟踪方法在高动态环境下跟踪精度不够理想且容易失锁等缺陷,提出了一种新的跟踪模型.采用包含多普勒频移与码相位误差的二维观测相关器组,并通过基于列文伯格-马夸尔特方法优化的迭代扩展卡尔曼滤波算法,使跟踪环路在码相位与载波频率初始捕获误差较大的情况下,依然能够快速而准确地收敛,成功解调出导航信息.仿真结果显示,利用新的GPS信号跟踪模型能够高质量地完成加速度为150g的高动态GPS信号跟踪.A novel tracking model was proposed for high dynamic condition under which the traditional GPS signal tracking method has a high probability of losing lock as well as a low accuracy. The output from a large number of eorrelators with wide ranges of uncertainty in code phase and carrier phase were used. An optimized iterated extended Kalman filter algorithm based on the Levenberg-Marquardt method was also implemented to process the output from the correlators, despite large acquisition errors. The simulation results show that the new model performs well in tracking a high dynamic GPS signal with an acceleration of 150 g.

关 键 词：全球定位系统 高动态跟踪 迭代扩展卡尔曼滤波 列文伯格-马夸尔特方法 

分 类 号：TN976.1[电子电信—信号与信息处理]