Passive Location of a Known Altitude Object Using Gain Ratio of Arrival Measurements

doi:10.3969/j.issn.0372-2112.2016.06.016

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Passive Location of a Known Altitude Object Using Gain Ratio of Arrival Measurements

更新时间：2025-07-02

- Passive Location of a Known Altitude Object Using Gain Ratio of Arrival Measurements
- Acta Electronica Sinica Vol. 44, Issue 6, Pages: 1369-1375(2016)
- 作者机构：
  
  1. 电子科技大学电子工程学院,四川,成都,611731
  2. 西南电子电信技术研究所,四川,成都,610041
  3. 总参通信工程设计研究院,辽宁,沈阳,110005
  4. 电子科技大学电子工程学院,四川,成都,611731
  5. 西南电子电信技术研究所,四川,成都,610041
  6. 总参通信工程设计研究院,辽宁,沈阳,110005
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61172140, No.61401069);Innovation Team Construction Project of Chongqing Municipal Universities (No.KJTD201343);Program for New Century Excellent Talents in University of Ministry of Education of China (No.NCEF-11-0873)
- DOI：10.3969/j.issn.0372-2112.2016.06.016
  CLC： TN97
- Published Online：25 June 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
Passive Location of a Known Altitude Object Using Gain Ratio of Arrival Measurements[J]. Acta Electronica Sinica, 2016, 44(6): 1369-1375.
DOI：

Passive Location of a Known Altitude Object Using Gain Ratio of Arrival Measurements[J]. Acta Electronica Sinica, 2016, 44(6): 1369-1375. DOI： 10.3969/j.issn.0372-2112.2016.06.016.

摘要

信号到达幅度比方法因测量简便

可实现对窄带信号的无源定位而广泛应用于射频定位系统、无线传感器网络和声源定位中.当目标海拔已知

将其作为定位方程的约束条件可实现对目标更精确的定位

而现有方法没有考虑这个问题.对此本文建立了海拔约束的信号到达幅度比无源定位模型

推导了定位精度的克拉美劳下界

并提出了一种基于Newton迭代的定位算法.理论推导表明该算法在测量误差服从方差较小的零均值高斯分布时能够达到克拉美劳下界

仿真结果与理论推导一致.无线电栅格化监测试验网的验证结果表明

对系统幅度误差进行校正后

该方法能够实现对辐射源的准确定位.

Abstract

The localization methods based on signal amplitude are widely used in radio frequency based location system

wireless sensor network and acoustic location system.The conventional gain ratios of arrival (GROA) passive localization methods take no consideration of the altitude of the source

though it is usually known.A GROA model with known altitude of the source was proposed

and the Cramer-Rao low bound (CRLB) was also derived.And then

a localization algorithm based on Newton iteration was proposed and it was proved theoretically to reach the CRLB under the Gaussian noise data model.The simulations validated the theoretical conclusions.This algorithm was also verified in a wireless monitoring network.In conclusion

this algorithm can accurately localize the source with known altitude.

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