Performance Comparison of ToA and TDOA Based Tracking In Underwater Multipath Environments Using Bernoulli Filter

Author:

Gunes Ahmet1ORCID

Affiliation:

1. 1 Defense Technologies Institute , Gebze Technical University Kocaeli , Turkey

Abstract

Abstract Underwater localization and tracking is a challenging problem and Time-of-Arrival and Time-Difference-of-Arrival approaches are commonly used. However, the performance difference between these approaches is not well understood or analysed adequately. There are some analytical studies for terrestrial applications with the assumption that the signal arrival times are not correlated. However, this assumption is not valid for underwater propagation. To present the distinct nature of the problem under the water, a high-fidelity simulation is required. In this study, Time-of-Arrival and Time-Difference-of-Arrival approaches are compared using a ray tracing based propagation model. Moreover, basic methods to mitigate the multipath propagation problem are also implemented for Bernoulli filters. Since the Bernoulli filter is a joint detection and tracking filter, the detection performance is also analysed. Comparisons are done for all combinations of filter and measurement approaches. The results can help to design underwater localization systems better suited to the needs.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Ocean Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A high-precision localization method for underwater targets incorporating direct path recognition and sound rays bending compensation;Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment;2024-08-24

2. Localization in Underwater Acoustic IoT Networks: Dealing With Perturbed Anchors and Stratification;IEEE Internet of Things Journal;2024-05-15

3. NLoS Measurement Elimination in UWB Signals Using Anomaly Detection;2023 31st Signal Processing and Communications Applications Conference (SIU);2023-07-05

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