Open AccessRadio signal time delay estimation performance of TDOA/SSR-based source localization systems
Author(s) -
С. И. Иванов,
Vladimir D. Kuptsov,
Alexander Fedotov,
Vladimir Badenko
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/5/052062
Subject(s) - multilateration , computer science , signal (programming language) , algorithm , a priori and a posteriori , fdoa , probability density function , path loss , radio propagation , real time computing , telecommunications , statistics , mathematics , wireless , philosophy , geometry , epistemology , azimuth , programming language
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.