| 目标海拔已知的信号到达幅度比无源定位方法 |
| |
| 引用本文： | 曹景敏,万群,魏合文,刘郁林. 目标海拔已知的信号到达幅度比无源定位方法[J]. 电子学报, 2016, 44(6): 1369-1375. DOI: 10.3969/j.issn.0372-2112.2016.06.016 |
| |
| 作者姓名： | 曹景敏 万群 魏合文 刘郁林 |
| |
| 作者单位： | 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 |
| |
| 基金项目： | 国家自然科学基金(No．61172140，No．61401069)；重庆高校创新团队建设计划(No．KJTD201343)；教育部“新世纪优秀人才支持计划”(NCEF-11-0873) |
| |
| 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.
|
| 关 键 词： | 信号到达幅度比 无源定位 海拔约束 克拉美劳下界 Newton迭代 |
| 收稿时间： | 2014-11-20 |
Passive Location of a Known AItitude Object Using Gain Ratio of ArrivaI Measu re ments |
| |
| CAO Jing-min,WAN Qun,WEI He-wen,LIU Yu-lin. Passive Location of a Known AItitude Object Using Gain Ratio of ArrivaI Measu re ments[J]. Acta Electronica Sinica, 2016, 44(6): 1369-1375. DOI: 10.3969/j.issn.0372-2112.2016.06.016 |
| |
| Authors: | CAO Jing-min WAN Qun WEI He-wen LIU Yu-lin |
| |
| Affiliation: | 1. Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;2. China Southeast Electronic Telecom Technology Research Institute, Chengdu, Sichuan 610041, China;3. Institute of Communications Engineering Design of the General Staff, Shenyang, Liaoning 110005, China |
| |
| Abstract: | The localization methods based on signal amplitude are widely used in radio frequency based location sys-tem,wireless sensor network and acoustic location system.The conventional gain ratios of arrival (GROA)passive localiza-tion methods take no consideration of the altitude of the source,though it is usually known.A GROA model with known alti-tude of the source was proposed,and the Cramer-Rao low bound (CRLB)was also derived.And then,a localization algo-rithm 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. |
| |
| Keywords: | GROA passive localization known altitude CRLB Newton iteration |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《电子学报》浏览原始摘要信息 |
|
点击此处可从《电子学报》下载免费的PDF全文 |
|
