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AOA无源定位最优构型分析
引用本文:徐国训,梁晓龙,王维佳,张佳强.AOA无源定位最优构型分析[J].传感器与微系统,2017,36(9).
作者姓名:徐国训  梁晓龙  王维佳  张佳强
作者单位:空军工程大学空管领航学院,陕西西安,710051
基金项目:国家自然科学基金面上资助项目,陕西省自然科学技术研究发展计划资助项目
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.

关 键 词:空间构型  无源定位  克拉美罗界  多传感器协同

Analysis on the optimal formation configuration of passive localization using AOA
XU Guo-xun,LIANG Xiao-long,WANG Wei-jia,ZHANG Jia-qiang.Analysis on the optimal formation configuration of passive localization using AOA[J].Transducer and Microsystem Technology,2017,36(9).
Authors:XU Guo-xun  LIANG Xiao-long  WANG Wei-jia  ZHANG Jia-qiang
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).
Keywords:space configuration  passive localization  Cramer-Rao bound (CRB)  multi-sensor cooperation
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