Geolocation and Tracking by TDOA Measurements Based on Space–Air–Ground Integrated Network

Due to the development of manufacturing and launch technologies for satellites, there are now more and more satellite networks. Hence, cooperative reconnaissance is possible to implement among satellite networks, aerial vehicles and ground stations. In this paper, we study the method of geolocation...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-01, Vol.15 (1), p.44
Main Authors: Li, Jinzhou, Lv, Shouye, Jin, Ying, Wang, Chenglin, Liu, Yang, Liao, Shuai
Format: Article
Language:English
Subjects:
Accuracy
Bias
Clock synchronization
Communication
Coordinates
Ground stations
Localization
Lower bounds
Mathematical models
maximum likelihood
Maximum likelihood estimators
Satellite networks
Satellite tracking
Satellites
space–air–ground integrated
Synchronization
system error
time difference of arrival
Velocity
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Summary:Due to the development of manufacturing and launch technologies for satellites, there are now more and more satellite networks. Hence, cooperative reconnaissance is possible to implement among satellite networks, aerial vehicles and ground stations. In this paper, we study the method of geolocation and tracking by time difference of arrival (TDOA) measurements based on space–air–ground integrated (SAGI) network. We first analyze the Cramer Rao lower bound (CRLB) for the source localization accuracy in different coordinate systems. Then, we compare the effects of different system errors, such as clock synchronization error, position bias of the observers, elevation bias of the target and non-horizontal velocity of the target. Further, we also develop a maximum likelihood (ML) estimator for target position and velocity. Finally, the theoretical performance of the proposed estimator is validated via computer simulations.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15010044