Passive localization of signal source based on wireless sensor network in the air

Passive localization of the wireless signal source attracts a considerable level of research interest for its wide applications in modern wireless communication systems. To accurately locate the signal source passively in the downtown area, sensors are carried on the unmanned aerial vehicles flying...

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Main Authors: Pengwu Wan, Yongjing Ni, Benjian Hao, Zan Li, Yue Zhao
Format: Article
Language:English
Published: SAGE Publishing 2018-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718767371
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spelling doaj-5a474ba414d54db289f5c857e891a8222020-11-25T02:47:50ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772018-03-011410.1177/1550147718767371Passive localization of signal source based on wireless sensor network in the airPengwu Wan0Yongjing Ni1Benjian Hao2Zan Li3Yue Zhao4State Key Laboratory of Integrated Services Networks, Xidian University, Shaanxi, ChinaSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, ChinaState Key Laboratory of Integrated Services Networks, Xidian University, Shaanxi, ChinaState Key Laboratory of Integrated Services Networks, Xidian University, Shaanxi, ChinaState Key Laboratory of Integrated Services Networks, Xidian University, Shaanxi, ChinaPassive localization of the wireless signal source attracts a considerable level of research interest for its wide applications in modern wireless communication systems. To accurately locate the signal source passively in the downtown area, sensors are carried on the unmanned aerial vehicles flying in the air, where the wireless sensor network can be established with an optimal geometry configuration conveniently. In this case, the influence of multipath fading can be avoided and the time difference of arrival measurement can be estimated precisely in Rician channel. By employing the operating center as a calibration source to refine the positions of the unmanned aerial vehicles, we present a simplified formulation of the time difference of arrival localization method according to the min-max criterion. To accurately estimate the position of the source, the nonlinear equations are relaxed using semidefinite programming to obtain an initial solution, which is utilized as the starting point of the iterative algorithm to refine the solution. In the simulation section, the validity and the robustness of the proposed methods are verified through the performance comparison with the Cramer–Rao lower bound.https://doi.org/10.1177/1550147718767371
collection DOAJ
language English
format Article
sources DOAJ
author Pengwu Wan
Yongjing Ni
Benjian Hao
Zan Li
Yue Zhao
spellingShingle Pengwu Wan
Yongjing Ni
Benjian Hao
Zan Li
Yue Zhao
Passive localization of signal source based on wireless sensor network in the air
International Journal of Distributed Sensor Networks
author_facet Pengwu Wan
Yongjing Ni
Benjian Hao
Zan Li
Yue Zhao
author_sort Pengwu Wan
title Passive localization of signal source based on wireless sensor network in the air
title_short Passive localization of signal source based on wireless sensor network in the air
title_full Passive localization of signal source based on wireless sensor network in the air
title_fullStr Passive localization of signal source based on wireless sensor network in the air
title_full_unstemmed Passive localization of signal source based on wireless sensor network in the air
title_sort passive localization of signal source based on wireless sensor network in the air
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2018-03-01
description Passive localization of the wireless signal source attracts a considerable level of research interest for its wide applications in modern wireless communication systems. To accurately locate the signal source passively in the downtown area, sensors are carried on the unmanned aerial vehicles flying in the air, where the wireless sensor network can be established with an optimal geometry configuration conveniently. In this case, the influence of multipath fading can be avoided and the time difference of arrival measurement can be estimated precisely in Rician channel. By employing the operating center as a calibration source to refine the positions of the unmanned aerial vehicles, we present a simplified formulation of the time difference of arrival localization method according to the min-max criterion. To accurately estimate the position of the source, the nonlinear equations are relaxed using semidefinite programming to obtain an initial solution, which is utilized as the starting point of the iterative algorithm to refine the solution. In the simulation section, the validity and the robustness of the proposed methods are verified through the performance comparison with the Cramer–Rao lower bound.
url https://doi.org/10.1177/1550147718767371
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AT yongjingni passivelocalizationofsignalsourcebasedonwirelesssensornetworkintheair
AT benjianhao passivelocalizationofsignalsourcebasedonwirelesssensornetworkintheair
AT zanli passivelocalizationofsignalsourcebasedonwirelesssensornetworkintheair
AT yuezhao passivelocalizationofsignalsourcebasedonwirelesssensornetworkintheair
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