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Moving source localization with a single hydrophone using multipath time delays in the deep ocean.
Rui Duan1, Kunde Yang1, Yuanliang Ma1
1Institute of Acoustic Engineering, Northwestern Polytechnical University, Xi'an 710072, China duanrui.work@gmail.com, ykdzym@nwpu.edu.cn, ylma@nwpu.edu.cn, yangqiulong@mail.nwpu.edu.cn, ddstc2008@163.com.
The Journal of the Acoustical Society of America
|August 7, 2014
Summary
Accurate underwater source localization is possible using a single hydrophone by analyzing direct-surface-reflected (D-SR) time delays. This method effectively estimates source depth, range, and speed via an extended Kalman filter (EKF).
Area of Science:
- Acoustics
- Signal Processing
- Underwater Navigation
Background:
- Single hydrophone localization is crucial for underwater surveillance and exploration.
- Estimating source parameters like depth, range, and speed presents a significant challenge.
- Direct and surface-reflected arrivals offer potential information for localization.
Purpose of the Study:
- To develop and validate a method for localizing a radially moving source using a single hydrophone.
- To jointly estimate the source's depth, initial range, and speed.
- To leverage direct-to-surface-reflected (D-SR) time delays for accurate localization.
Main Methods:
- Utilizing time delays between direct and surface-reflected arrivals (D-SR time delays) as measurements.
- Defining the source's depth, initial range, and speed as state parameters.
- Employing an extended Kalman filter (EKF) for joint state estimation.
- Extracting D-SR time delays from autocorrelation functions.
Main Results:
- The extended Kalman filter (EKF) successfully processed D-SR time delays.
- Accurate localization results were achieved through offline iteration of the EKF.
- The proposed method demonstrated effective joint estimation of source parameters.
Conclusions:
- Localizing a source of radial movement at moderate range is feasible with a single hydrophone.
- The D-SR time delay tracking method, combined with EKF, provides reliable underwater source localization.
- Offline EKF iteration ensures accurate estimation of source depth, range, and speed.
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