XU Guo-xun, LIANG Xiao-long, WANG Wei-jia, et al. Analysis on the optimal formation configuration of passive localization using AOA[J]. 2017, 36(9): 57-60.
XU Guo-xun, LIANG Xiao-long, WANG Wei-jia, et al. Analysis on the optimal formation configuration of passive localization using AOA[J]. 2017, 36(9): 57-60. DOI: 10.13873/j.1000-9787(2017)09-0057-04.
AOA无源定位最优构型分析
摘要
针对无源定位研究中
传感器—发射机的空间构型对最终的定位估计存在较大影响问题
通过装备无源接收器的接收机运用到达角度(AOA)量测方法对发射机进行定位
计算克拉美罗界(CRB)并分别在距离和分布角度改变的情况下分析最优空间构型
在不考虑接收机约束的情况下给出了接收机—目标最优几何构型的理论分析
得到了目标静态条件下接收机最优空间构型的分析结果
并运用自适应遗传算法(GA)进行了仿真验证。
Abstract
In the study of passive localization problem
localization estimation can be seriously influenced by sensors-emitter space. Angle-of-arrival( AOA) measurements are used to locate emitter by configuration with passive receivers. The Cramer-Rao bound( CRB) is calculated and the optimal space configuration is analyzed via changing distance and angular distribution
theoretic analysis of optimal geometry of receiver-target is given without considering receiver constraints. Analytic solutions to the optimal space configuration of receiver are achieved in static cases. Simulation verification is carried out by using self-adaptive genetic algorithm( GA).