基于多站时差和多普勒频差联合定位的Singer-EKF算法研究  

Algorithm of Singer-EKF based on the Multi-station TDOA and FDOA Co-locating

作　　者：程方铎[1] 宋小雷[2] 

机构地区：[1]南京电子技术研究所,南京210039 [2]西北机电工程研究所,咸阳712099

出　　处：《信息化研究》2016年第2期31-35,共5页INFORMATIZATION RESEARCH

摘　　要：文章讨论了多站时差和多普勒频差联合定位,重点研究了基于Singer机动模型的扩展卡尔曼滤波跟踪定位算法。仿真结果表明,基于多站时差和多普勒频差联合定位的Singer-EKF算法对提高目标定位精度是有效可行的,尤其可提高机动目标的跟踪定位精度,并得到高精度的速度。This article discusses the multi-station TDOA and FDOA Co-locating, focused on the Extended Kalman Filter （EKF） positioning algorithm based on Singer Model, simulation results show that the Singer- EKF methods based on the multi-station TDOA and FDOA co-locating is feasible and effective on improving the accuracy of targeting, especially on improving the accuracy of tracking maneuvering targets, and get highly ac-curate speed.

关 键 词：时差定位 多普勒频差 时差和多普勒频差联合定位 Singer模型 扩展卡尔曼滤波 

分 类 号：TN958[电子电信—信号与信息处理]