Passive sensor planning for TDOA/FDOA geolocation under communication constraints
H Seuté, L Ratton, A Fagette - 2020 IEEE 23rd International …, 2020 - ieeexplore.ieee.org
H Seuté, L Ratton, A Fagette
2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020•ieeexplore.ieee.orgThis paper presents a study on electromagnetic emitter localization using time difference of
arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements acquired by
moving sensors in the presence of communication constraints. The problem is framed as a
Markov Decision Process where the action plan is the sequence of measurements to
exchange within the sensor network and the reward function is calculated based on Cramer-
Rao Lower Bound. Several optimization methods are proposed and benchmarked including …
arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements acquired by
moving sensors in the presence of communication constraints. The problem is framed as a
Markov Decision Process where the action plan is the sequence of measurements to
exchange within the sensor network and the reward function is calculated based on Cramer-
Rao Lower Bound. Several optimization methods are proposed and benchmarked including …
This paper presents a study on electromagnetic emitter localization using time difference of arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements acquired by moving sensors in the presence of communication constraints. The problem is framed as a Markov Decision Process where the action plan is the sequence of measurements to exchange within the sensor network and the reward function is calculated based on Cramer-Rao Lower Bound. Several optimization methods are proposed and benchmarked including myopic, multi-step ahead and heuristic approaches. The benefits of a non-myopic strategy are highlighted through simulated scenarios involving moving sensor platforms and one emitting source.
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