Acoustic tracking of moving marine targets using a single autonomous surface receiver

IF 4.2 2区 计算机科学 Q2 ROBOTICS
Ilan Git, Matan Samina, Shachar Givon, Ronen Segev, Moshe Kiflawi, Ohad Ben-Shahar
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引用次数: 0

Abstract

While marine animal behavior is often studied in constrained lab setups, a more reliable exploration should be done in their natural environment and without human interference. This task becomes excessively more challenging when quantitative data are needed in large and unconstrained aquatic environments. Toward that end, researchers widely use acoustic positioning telemetry to remotely track their subjects, though this often requires an extensive network of receivers placed in the environment ahead of time. This study proposes a new tracking method that continuously tracks and reports the trajectory of a target in unconstrained marine environments using a single-moving acoustic receiver. Instead of deploying an extensive array of static receivers, we use a single receiver mounted on an autonomous surface vehicle to obtain highly accurate results with much cheaper and simpler means. The receiver position and earlier target location estimations are used to calculate an optimal trajectory for the receiver, which in turn provides subsequent readings and target localizations based on a new variant of the Time Difference of Arrival approach. We demonstrate the performance of the proposed methods using both simulations and field experiments.

Abstract Image

使用单个自主表面接收器对移动的海洋目标进行声学跟踪
虽然海洋动物行为的研究通常是在受限的实验室环境中进行的,但更可靠的探索应该是在其自然环境中进行,并且不受人为干扰。如果需要在大型、无限制的水生环境中获得定量数据,这项任务就会变得更具挑战性。为此,研究人员广泛使用声学定位遥测技术来远程跟踪研究对象,但这往往需要提前在环境中放置大量的接收器网络。本研究提出了一种新的跟踪方法,利用单个移动声学接收器在无限制的海洋环境中持续跟踪并报告目标的轨迹。我们没有部署大量静态接收器阵列,而是使用安装在自主水面飞行器上的单个接收器,以更便宜、更简单的方法获得高精度结果。接收器位置和早期目标位置估计用于计算接收器的最佳轨迹,而接收器则根据到达时间差方法的新变体提供后续读数和目标定位。我们通过模拟和现场实验展示了所建议方法的性能。
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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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