一种新颖的基于GPS与DTMB组合系统的定位跟踪算法研究  

A novel algorithm of positioning and tracking based on combination of GPS and DTMB

作　　者：田安红[1] 付承彪[1] 陶燕林[1] 

机构地区：[1]曲靖师范学院计算机科学与工程学院,云南曲靖655000

出　　处：《河南理工大学学报（自然科学版）》2014年第3期299-303,共5页Journal of Henan Polytechnic University（Natural Science）

基　　金：云南省教育厅科学研究项目(2013Y017);重庆市教委科研项目(KJ130528);曲靖师范学院校级青年科研项目(2012QN022)

摘　　要：针对GPS卫星信号在楼群密集的城市和室内存在定位盲区而无法单独完成定位的难题,考虑到地面数字电视信号的自身优越性,提出GPS与DTMB组合导航的无缝定位方法.该方法通过融合多源信号的观测量来保证定位的精度,采用扩展卡尔曼滤波(EKF)算法对多源信号进行最优估计,并对比分析不同信号源组合下的定位跟踪效果.仿真结果表明,EKF滤波估计轨迹能较好地接近目标运动的真实轨迹,均方根误差约20 m,满足无缝定位需求,且参与定位的组合信号源参数越多,定位精度就越高.证明了在GPS定位盲区,采用GPS与DTMB进行组合导航定位的可行性.In order to overcome the deficiency of location failure caused by the lack of GPS satellites in dense urban areas and indoor environments, this paper presents a novel integrated navigation seamless positioning method combining GPS and DTMB. The fusion of multi-source signals based on Extended Kalman Filter Algo- rithm has been adopted to ensure the accuracy of positioning. Theoretical analysis and simulation results show that filtering trajectory consistents with the real trajectory basically, and that RMSE is about 20 m, Which can meet the demands for seamless positioning. Thus, the feasibility of combining GPS and DTMB has been veri- fied in GPS partially blind areas.

关 键 词：全球定位系统 数字电视地面广播 扩展卡尔曼滤波算法 组合导航 

分 类 号：TN96[电子电信—信号与信息处理]