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Hybrid TOA-DOA techniques for maneuvering underwater target tracking using the sensor nodes on the sea surface

机译：Hybrid TOA-DOA techniques for maneuvering underwater target tracking using the sensor nodes on the sea surface

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摘要

This article handles tracking an underwater target utilizing multiple sensor nodes on the sea surface. This article focuses on hybrid usage of Time of Arrival (TOA), and Direction of Arrival (DOA) to track a maneuvering underwater target. In the considered DOA problem, a sensor node measures the bearing of the target, but not the elevation of the target. We show that at least two sensor nodes are required for hybrid TOA-DOA localization. Our tracking algorithm is based on the Interacting Multiple Model Kalman Filter (IMM KF) and generates a satisfactory target estimate in a time efficient manner. As far as we know, our article is novel in presenting an underwater target tracking algorithm based on hybrid usage of TOA-DOA measurements. The effectiveness of our tracking algorithm is verified utilizing MATLAB simulations.

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