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。
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).