基于寻优算法的机动地面站定位系统构建方法  被引量:2

Construction method of mobile ground station location system based on optimizing algorithms

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作  者:高赛赛 陶瞩 黄莹[2] GAO Saisai;TAO Zhu;HUANG Ying(Postgraduate Team,Armed Police Engineering University,Xi’an 710086,China;College of Information Engineering,Armed Police Engineering University,Xi’an 710086,China)

机构地区:[1]武警工程大学研究生大队,西安710086 [2]武警工程大学信息工程学院,西安710086

出  处:《激光杂志》2019年第11期114-117,共4页Laser Journal

基  金:武警工程大学基础研究项目(No.WJY201512)

摘  要:针对卫星导航定位系统无法全区域覆盖以及传统地基增强系统地面站选址要求苛刻和位置相对固定等问题,提出了构建机动地面站定位系统的构想。在已知目标活动区域的情况下,利用寻优算法与MATLAB现地实况仿真结合,事先确定目标活动区域内地面站的最佳部署位置,根据得到的位置坐标,选择合适的机动方式将地面站迅速机动到位,组建定位系统。该方法消除了建站的盲目性和猜测性,打破了传统的固定站及经典布站方式的桎梏。并通过仿真实验对基于寻优算法得到的定位系统的性能进行了验证,实验结果表明:该系统能够满足定位要求,且定位误差可控制在分米级,定位精度较高,为更好地解决无卫星导航信号及信号较弱地区的目标定位问题提供了一种新的可行路径。Aiming at the problem that the satellite navigation and positioning system can not cover the whole area,and that the traditional ground-based reinforcement system requires rigorous site selection and relatively fixed position,this paper puts forward the conception of building a mobile ground-based station positioning system.Combining the op-timization algorithm with the real-time simulation of MATLAB,the optimal deployment position of ground station is de-termined,then select the appropriate signal receiving equipment and maneuvering mode to set up the positioning system quickly.This method eliminates the blindness and speculation of station construction and breaks the shackles of tradi-tional fixed station and classical station layout.The performance of the positioning system based on optimization algo-rithm is verified by simulation experiments.And the experimental results show that the positioning system can meet the positioning requirements,and the positioning error can be controlled at decimeter level,the positioning accuracy is high,which provides a new feasible path for better solving the problem of target positioning in areas without satellite navigation signals and weak signals.

关 键 词:机动地面站 定位系统 遗传算法 粒子群算法 

分 类 号:TN953.7[电子电信—信号与信息处理]

 

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