摘要
基于自适应遗传算法并适当改进之后,利用GDOP和CLRB两种数值工具,结合多点定位系统的其他要求和限制因素,最终确定基站的位置并且对比分析两种数值工具下得到的基站布局异同,在得出基站位置以后分析此布站情况下的GDOP值分布和CLRB值分布。该技术可以实现场面多点定位系统的最优布站,还可以升级已完成的多点定位系统。详细介绍了自适应遗传算法以及基于自适应遗传算法的布站方案的实现过程。
Based on Adaptive Genetic Algorithm（ AGA） and its improvement,by use of the two numerical tools of GDOP and CLRB,and taking the requirements and restrictions of the multilateration（ MLAT）system into consideration,the station locations are determined through continuous iteration,and analysis is made to the similarities and differences of the obtained results of station layout. Then,the distribution of GDOP and CLRB values under different station layout is obtained. The technology can realize optimal embattling of MLAT system,and it can also upgrade the existing system. AGA algorithm and the implementation process of embattling based on AGA are introduced in detail in this paper.
出处
《电光与控制》
北大核心
2016年第1期71-74,79,共5页
Electronics Optics & Control
基金
中央高校科技业务项目(3122014P001)
关键词
多点定位系统
空中交通管制
AGA算法
布站
GDOP
CLRB
multilateration system
air traffic control
Adaptive Genetic Algorithm（AGA）
station layout
GDOP
CLRB
