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http://dx.doi.org/10.5762/KAIS.2021.22.6.251

Target Localization Method based on Extended Kalman Filter using Multipath Time Difference of Arrival  

Cho, Hyeon-Deok (Maritime Technology Research Institute, Agency for Defense Development)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.22, no.6, 2021 , pp. 251-257 More about this Journal
Abstract
An underwater platform operating a passive sonar needs to acquire the target position to perform its mission. In an environment where sea-floor reflections exist, the position of a target can be estimated using the difference in the arrival time between the signals received through multipaths. In this paper, a method of localization for passive sonar is introduced, based on the EKF (Extended Kalman Filter) using the multipath time difference of arrival in underwater environments. TMA (Target Motion Analysis) requires accumulated measurements for long periods and has limitations on own-ship movement, allowing it to be used only in certain situations. The proposed method uses an EKF, which takes measurements of the time differences of the signal arrival in multipath environments. The method allows for target localization without restrictions on own-ship movement or the need for an observation time. To analyze the performance of the proposed method, simulation according to the distance and depth of the target was performed repeatedly, and the localization error according to the distance and water depth were analyzed. In addition, the correlation with the estimated position error was assessed by analyzing the arrival time difference according to the water depth.
Keywords
Sonar; Localization; Multipath; Time Difference of Arrival; Extended Kalman Filter;
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