Analysis on the optimal formation configuration of passive localization using AOA

XU Guo-xun; LIANG Xiao-long; WANG Wei-jia; ZHANG Jia-qiang

doi:10.13873/j.1000-9787(2017)09-0057-04

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Analysis on the optimal formation configuration of passive localization using AOA

更新时间：2025-09-11

- Analysis on the optimal formation configuration of passive localization using AOA
- Vol. 36, Issue 9, Pages: 57-60(2017)
- 作者机构：
  
  空军工程大学空管领航学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)09-0057-04
  CLC： TN95;TP212
- Published：2017
- 稿件说明：
移动端阅览
[1]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(09):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.
[1]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(09):57-60. DOI： 10.13873/j.1000-9787(2017)09-0057-04.

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.

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）.

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references

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