摘要
为充分利用探测设备可测得的到达时间、到达方向和多普勒频率等空域、时域与频域信息,提出了一种新的单站无源定位系统数据融合优化滤波算法。给出了算法的基本原理及其模型。仿真结果表明:与传统算法相比,该算法具更好的定位精度和收敛速度,是一种有效、可行的定位算法。
To make full use of spatial and temporal information as well as frequency range information which were time of arrive（TOA）,direction of arrive（DOA） and Doppler frequency measurements measured synchronously by modern electronic detecting equipment in single observer passive location and tracking system,a new fusion optimization filtering algorithm was put forward in this paper.The principle and model of the proposed algorithm were presented.The simulation results showed that this method had better accuracy and convergence rate than the conventional algorithms.
出处
《上海航天》
2010年第6期35-37,56,共4页
Aerospace Shanghai
关键词
无源定位
数据融合
到达时间
到达角
多普勒频率
最优化
Passive location
Data fusion
Time of arrival
Direction of arrive
Doppler frequency
Optimization
