Passive Localization of Signal Source Based on UAVs in Complex Environment

作     者：Pengwu Wan Qiongdan Huang Guangyue Lu Jin Wang Qianli Yan Yufei Chen Pengwu Wan;Qiongdan Huang;Guangyue Lu;Jin Wang;Qianli Yan;Yufei Chen

作者机构：XI’AN University of Posts and Telecommunications 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2020年第17卷第2期

页      面：107-116页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080202[工学-机械电子工程] 0839[工学-网络空间安全] 082503[工学-航空宇航制造工程] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by The Science and Technology Innovation Team Plan of Shaanxi Province (2017-KCT-30-02) The Key Research and Development Program of Shaanxi Province (2018GY-150) The Foundation Research Project of Shaanxi Province (The Natural Science Fund. 2018JQ6093) The Science and Technology Plan Project of Xi’an City (201805040YD18CG24-3) 

主　　题：passive localization time difference of arrival wireless sensor network unmanned aerial vehicle semidefinite programming 

摘      要：For the influence caused by multipath fading and non-line-of-sight(NLOS)transmission,it is challenging to accurately localize a moving signal source in complex environment by using the wireless sensor network(WSN)on the ground.In this paper,we establish a special WSN in the sky to address this challenge,where each sensor is loaded on an unmanned aerial vehicle(UAV)and the operation center of all the UAVs is fixed on the ground.Based on the analyzing of the optimal distribution and the position error calibration of all the sensors,we formulate the localization scheme to estimate the position of the target source,which combines the time difference of arrival(TDOA)method and the frequency difference of arrival(FDOA)method.Then by employing the semidefinite programming approach,we accurately obtain the position and velocity of the signal source.In the simulation,the validity of the proposed method is verified through the performance comparison.