Study on ultra short baseline positioning system based on improved quad array and extended Kalman filter

Ultra-short baseline equipment has been widely used in underwater positioning because of its small size and flexible use. In order to eliminate the phase ambiguity in the long distance measurement of ultra-short baseline system, an improved four-element array is proposed, which solves the above-mentioned problem effectively and improves the positioning accuracy. At the same time, in order to improve the precision of the phase difference between the measured elements, the acoustic signal is denoised by using the extended Kalman filter. The simulation results show that comparing with the traditional matrix, the improved four-element matrix improves the positioning accuracy by nearly one order of magnitude, and effectively reduces the number of primitives comparing with the improved eight-element matrix.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-08-11
DOI
https://doi.org/10.1051/jnwpu/20254330592/pdf
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
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article

Study on ultra short baseline positioning system based on improved quad array and extended Kalman filter

Springer Link (Chiba Institute of Technology)
Underwater Vehicles and Communication Systems
article

Study on ultra short baseline positioning system based on improved quad array and extended Kalman filter

article en

Abstract

Ultra-short baseline equipment has been widely used in underwater positioning because of its small size and flexible use. In order to eliminate the phase ambiguity in the long distance measurement of ultra-short baseline system, an improved four-element array is proposed, which solves the above-mentioned problem effectively and improves the positioning accuracy. At the same time, in order to improve the precision of the phase difference between the measured elements, the acoustic signal is denoised by using the extended Kalman filter. The simulation results show that comparing with the traditional matrix, the improved four-element matrix improves the positioning accuracy by nearly one order of magnitude, and effectively reduces the number of primitives comparing with the improved eight-element matrix.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 31%
Underwater Vehicles and Communication Systems
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