scholarly journals On the performance of wireless sensor network time difference of arrival localization under realistic interference and timing estimation errors

2019 ◽  
Vol 15 (2) ◽  
pp. 155014771983253 ◽  
Author(s):  
Mohamed Adnan Landolsi ◽  
Hamood R Khan ◽  
Abdullah S Al-Ahmari ◽  
Ali H Muqaibel
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Time Difference ◽  
Wireless Sensor ◽  
Estimation Errors ◽  
Time Difference Of Arrival ◽  
Timing Estimation ◽  
Network Time

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

2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876737
Author(s):  
Pengwu Wan ◽  
Yongjing Ni ◽  
Benjian Hao ◽  
Zan Li ◽  
Yue Zhao
Keyword(s):  
Wireless Sensor Network ◽  
Unmanned Aerial Vehicles ◽  
Sensor Network ◽  
Multipath Fading ◽  
Time Difference ◽  
Wireless Sensor ◽  
Signal Source ◽  
Time Difference Of Arrival ◽  
Aerial Vehicles ◽  
Passive Localization

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.

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