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An Ultra-Short Baseline Underwater Positioning System with Kalman Filtering.

Qinghua Luo1,2,3, Xiaozhen Yan1,2, Chunyu Ju1

  • 1School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China.

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Summary
This summary is machine-generated.

Environmental noise impacts ultra-short baseline (USBL) underwater positioning accuracy. This study introduces a Kalman filtering approach with a novel element array to significantly improve positioning precision for underwater targets.

Keywords:
Kalman filtersacoustic signal detectionadaptive filterssignal denoising

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Area of Science:

  • Marine technology
  • Acoustic positioning systems
  • Signal processing

Background:

  • Ultra-short baseline (USBL) systems are vital for underwater navigation but suffer accuracy degradation from environmental noise.
  • Positioning errors in USBL systems can lead to critical decision-making failures in subsequent underwater operations.
  • Minimizing noise impact is essential for reliable underwater positioning.

Purpose of the Study:

  • To enhance the accuracy of ultra-short baseline (USBL) underwater positioning systems.
  • To mitigate the negative effects of environmental noise on USBL positioning accuracy.
  • To develop a robust USBL system using Kalman filtering and advanced acoustic signal acquisition.

Main Methods:

  • Exploration of a novel element array for precise acoustic signal capture.
  • Integration of Kalman filters with array elements to filter acoustic signals using the minimum mean-square error rule.
  • Utilizing a non-equidistant quaternary array and phase difference acquisition for high-precision phase difference information.

Main Results:

  • Accurate acoustic signals were obtained by filtering with Kalman filters.
  • High-precision phase difference information was derived from the specialized array and acquisition mechanism.
  • The system successfully determined underwater target coordinates based on processed phase difference data.

Conclusions:

  • The proposed USBL positioning method effectively enhances accuracy.
  • Kalman filtering significantly improves the reliability of underwater positioning.
  • The novel array design and filtering technique offer a robust solution for noisy underwater environments.