Work

Target Motion Parameters Estimation by Full-Plane Hyperbola-Warping Transform with a Single Hydrophone

Year: 2024

Type: article

Abstract: In this paper, to counteract the sensitivity of the traditional Hough transform to noise and the fluctuations in parameter estimation, we propose a hyperbolic warping transform that integrates all interference fringes in the time–frequency domain to accurately estimate the motion parameters of a single hydrophone. This method can accurately estimate the target motion parameters, including the time of closest point of approach (tCPA), the ratio of the nearest distance to the speed (b=rCPA/v), and the waveguide invariant (β). The two algorithms are compared by simulation and sea trial experiments. Hyperbola-warping improves the noise immunity performance by 10 dB in simulation experiments, increases the detection range by 20% in sea trial experiments, and demonstrates that the method proposed in this paper has better noise resistance and practicality.

Source: Remote Sensing

DOI: 10.3390/rs16173307

Authors: Yuzheng Li, Bo Gao, Zhuo Chen, Yueqi Yu, Zhennan Wang, Dazhi Gao

Institution: Ocean University of China

Language: English

Topic: Underwater Acoustics Research

Subfield: Oceanography

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,069

Funder: National Natural Science Foundation of China