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.
出处
《信息化研究》
2016年第2期31-35,共5页
INFORMATIZATION RESEARCH
