Joint Recursive Receiver and Emitter Geolocation Using Time Difference of Arrival Measurements

This paper considers the joint recursive estimation of the position of a distributed receiver array and a number of emitters using range measurements between receivers and time difference of arrival measurements between emitters and pairs of receivers. The ranges are used as measurements in several...

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Bibliographic Details
Main Authors: Coulter, Liam J., Geroski, David J., Marcum, Andrew C.
Format: Conference Proceeding
Language:English
Subjects:
distributed arrays
geolocation
Kalman filtering
Measurement uncertainty
Nonlinear filters
Position measurement
Receivers
Simulation
TDOA
Time difference of arrival
Time measurement
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Summary:This paper considers the joint recursive estimation of the position of a distributed receiver array and a number of emitters using range measurements between receivers and time difference of arrival measurements between emitters and pairs of receivers. The ranges are used as measurements in several nonlinear filters to estimate the receiver array positions and the time difference of arrival measurements are used in a joint nonlinear filter to estimate both the emitter and receiver positions. The performance of the joint nonlinear filter, an extended Kalman filter, is compared to the receiver-only filter, and the emitter-only filter for a stationary receiver array and moving emitters, and compared with the Cramer-Rao lower bound. The joint filter performs generally better than the receiver-only or the emitter-only filters, especially at low time difference of arrival measurement noise levels
ISSN:2576-2303
DOI:10.1109/IEEECONF59524.2023.10476880