Open AccessTDOA‐based adaptive observer trajectory optimisation algorithm for tracking in passive coherent location system
Author(s) -
Jing Tong,
Tian Wei,
Huang Gaoming
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0590
Subject(s) - multilateration , dilution of precision , observer (physics) , computer science , tracking (education) , trajectory , kalman filter , algorithm , extended kalman filter , tracking system , control theory (sociology) , mathematics , artificial intelligence , control (management) , global positioning system , telecommunications , psychology , pedagogy , physics , geometry , gnss applications , quantum mechanics , astronomy , azimuth
In the passive coherent location system with fixed observers, the target tracking performance is limited by the inappropriate localisation geometry. This study proposes an adaptive observer trajectory optimisation (AOTO) algorithm in terms of minimising the geometric dilution of precision (GDOP) based on the time difference of arrival (TDOA) measurements gained from multiple emitters. The target states are estimated by the extended Kalman filter (EKF) algorithm. Simulation results demonstrate that the AOTO algorithm can effectively improve the tracking accuracy compared with the corresponding tracking approaches with fixed observers.