基于多频模糊度解算的BDS/GPS中基线AEKF RTK算法  

BDS/GPS AEKF RTK algorithm utilizing multi-frequency ambiguity resolution for medium baseline

作　　者：宋玉龙[1] 廉保旺[1] 唐成凯[1] 

机构地区：[1]西北工业大学电子信息学院,西安陕西710072

出　　处：《系统工程与电子技术》2017年第8期1794-1800,共7页Systems Engineering and Electronics

基　　金：国家自然科学基金(61301094);陕西省科技统筹创新工程重点实验室项目(2013SZS15-K01)资助课题

摘　　要：为了提高中基线实时动态(real-time kinematic,RTK)定位的模糊度解算成功率和定位精度,提出一种基于三频北斗系统(BeiDou navigation satellite system,BDS)和双频全球定位系统的多频模糊度解算算法。该算法结合三频模糊度解算(three carrier ambiguity resolution,TCAR)和最小二乘降相关(least-square ambiguity decorrelation adjustment,LAMBDA)算法通过三级迭代固定模糊度。此外,为了减少电离层延迟等误差对模糊度解算的影响,提出一种组合系数搜索算法。利用自适应扩展卡尔曼滤波实现RTK定位。在中基线实验中,将提出算法与BDS TCAR和单/双系统LAMBDA算法在成功率和定位精度方面进行比较。结果表明,所提算法的成功率最高,可即时固定模糊度,且定位误差在毫米级,精度在3种算法中最优。To improve the ambiguity resolution success rate and accuracy of real-time kinematic （RTK） po-sitioning for medium baseline, a multi-frequency ambiguity resolution algorithm on the basis of three-frequency BeiDou navigation satellite system （BDS） and dual-frequency global positioning system is proposed. The three carrier ambiguity resolution （ TCAR ） algorithm and the lea st-square ambiguity decorrelation ad justment （LAMBDA） algorithm are brought together to fix ambiguities in three steps. To reduce the effects of errors such as ionosphere delay on ambiguities, a search algorithm for combination coefficients is presented. In addi-tion, an adaptive extended Kalman filter is utilized for RTK positioning. In the medium baseline experiment, the success rates of the proposed algorithm, BDS TCAR algorithm and single/dual-system LAMBDA algorithm are compared. The proposed ambiguity resolution algorithm has the highest success rate, and could fix ambigui-ties instantaneously. Additionally, it has the best positioning accuracy with the position error at the millimeter level.

关 键 词：全球定位系统 北斗系统 实时动态 模糊度解算 自适应扩展卡尔曼滤波 

分 类 号：TN967.1[电子电信—信号与信息处理]