摘要
编队内友邻平台的精确联网定位直接关系协同作战效能的发挥,传统的定位方式已不能满足需求,研究高性能、高精度的定位方法已迫在眉睫。在分析国内导航定位现状基础上,从平台精确定位方法和战术原则两个方面,对协同平台精确联网定位问题进行研究。文章首先探讨了导航航速和有限平台短时间、相互探测数据的融合方法,并提出了构造航速滤波器的分布式多平台定位融合算法。最后通过仿真,分析了几种异类传感器数据融合算法的利弊和平台相互位置关系对定位精度的影响,证明了该文提出的定位算法的有效性和具有较高的定位精度。
Because the accurate location of friend - platform among the fleet is crucial to the effectiveness of cooperative engagement, the traditional navigational location mode can not meet the requirement, so, there is no time to delay the research on location method with high efficiency and high accuracy. In this thesis, based on the analysis of actuality of navigation location inland, the problem of cooperative platform accurate location is studied from the point of platform accurate location and tactics principle. Firstly, the fusion algorithm for the speed of navigation and the shor - dated, mutual detected data of limited platforms is analyzed. Then, the fusion algorithm of distributed multiplatform for location by constructing speed filter is given. Finally, the advantage and the disadvantage of various fusion methods for different types of sensors and the influence of the distance and the angle of platforms on location accuracy are analyzed through simulation. The simulation results show the efficiency and high location precision of the proposed algorithm.
出处
《计算机仿真》
CSCD
2006年第7期22-26,30,共6页
Computer Simulation
关键词
协同作战
平台定位
航速滤波器
蒙特卡罗
Cooperative engagement
Platform location
Speed filter
Monte - karlo