Source localization through adaptive signal attenuation model and time delay estimation

2011 ◽  
Author(s):  
Hamidreza Aghasi ◽  
Morteza Hashemi ◽  
Babak Hossein Khalaj
Keyword(s):  
Time Delay ◽  
Source Localization ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Signal Attenuation ◽  
Attenuation Model ◽  
Adaptive Signal

Time Delay Estimation and Source Localization

2008 ◽  
pp. 1043-1063 ◽  
Author(s):  
Yiteng Huang ◽  
Jacob Benesty ◽  
Jingdong Chen
Keyword(s):  
Time Delay ◽  
Source Localization ◽  
Time Delay Estimation ◽  
Delay Estimation

scholarly journals Radio signal time delay estimation performance of TDOA/SSR-based source localization systems

2021 ◽  
Vol 2131 (5) ◽  
pp. 052062
Author(s):  
S I Ivanov ◽  
V D Kuptsov ◽  
A A Fedotov ◽  
V L Badenko
Keyword(s):  
Time Delay ◽  
Source Localization ◽  
Delay Time ◽  
Radio Signal ◽  
Base Station ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Estimation Performance ◽  
Signal Time ◽  
Localization Systems

Abstract The work is devoted to the development of an algorithm for the optimal Radio Signal Time Delay Estimation Performance in passive location systems of stationary targets based on the TDOA method in two-dimensional space. A realistic model of the radio signal at the input of sensors (base station receivers) is considered, considering the random power value as a function of the distance to the source. The optimal estimate is based on the strategy of maximum posterior probability density. The calculation of the statistical characteristics of the obtained estimate of the radio signal delay time is carried out. The Bayesian Cramér - Rao lower bound (BCRLB) of the latency estimate is calculated. It is shown that the use of a priori statistical information on the path loss of a radio signal model can improve the accuracy of estimating the propagation delay time of a radio signal in TDOA/SSR-Based Source Localization Systems.

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