摘要
目前我国靶场常采用雷达-光电经纬仪交会测量系统协同测量的方式实现对被测目标外弹道的定位;但测量仪器会受其作用范围的限制,为确保对目标的定位精度,实际上在大型靶场中需要多台雷达-光电经纬仪进行接力测量;在外弹道测量中,测量精度不仅与设备有关,布站方式也是影响测量精度的重要因素;利用遗传算法得到最优布站是常用而有效的布站优化方法,在考虑测量设备探测范围的前提下,针对这些问题设计优化函数,利用MATLAB工具实现遗传算法程序,最后以三组雷达-光电经纬仪交会测量系统的几何布站为例进行仿真,得出了当三个站点位置为正三角时对目标的定位精度最高的结论,提高了对目标的定位精度。
Currently, the shooting range in our country often uses the coordinate measuring way of radar and electro optic theodolite intersection measuring system to realize the exterior trajectory measurement of target positioning. But the measuring instrument is limited with its action range. In order to insure the measurement accuracy of target＇s positioning, a large range needs a few sets of radar and electro --optic theodolit to relay measurement in fact. The measurement accuracy is not only associated with the devices, disposition is also the im- portant affect factors in exterior trajectory measurement. By using the genetic algorithm to get the optimal disposition is a common and effec tive optimization method, design optimization function for these problems in considering the detection range of measuring devices and achieve the program by MATLAB tool. At last, take the geometric disposition of three groups of radar and electro optic theodolite intersection measuring system as an example for simulation, come to the conclusion that when the three sites location is a regular triangle, the accuracy of target＇s positioning is highest, and the positioning accuracy of target is improved.
出处
《计算机测量与控制》
北大核心
2013年第12期3399-3401,共3页
Computer Measurement &Control
基金
山西省自然科学基金项目(201001011023-1)
关键词
优化布站
雷达-光电经纬仪
交会测量
遗传算法
optimal disposition
radar and electro--optic theodolite
intersection measurement
Genetic algorithm
作者简介
马彦敏（1986-），女，河北石家庄人，硕士研究生，主要从事计算机应用技术的研究。
