Underwater transponder position calibration method based on triangular partition optimization gauss-newton algorithm

By optimizing the initial value selection of the Gauss-Newton algorithm using the triangular segmentation method and introducing a cost function to handle abnormal information, the problems of improper initial value selection and abnormal measurement information in underwater transponder position estimation are solved, thereby improving the accuracy and stability of underwater positioning.

CN116087926BActive Publication Date: 2026-06-19HOHAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HOHAI UNIV
Filing Date
2022-11-30
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing underwater transponder position estimation methods suffer from local optima or divergence problems due to improper initial value selection in underwater environments, as well as large estimation errors when measurement information is abnormal, which affect the positioning accuracy of ultra-short baseline systems.

Method used

The initial value selection of the Gauss-Newton algorithm is optimized by using the triangular partitioning method, and a cost function is introduced for weighted processing. The optimal initial value is selected by using the triangular partitioning method, and the anomaly handling of measurement information is performed by combining the cost function, thereby improving the stability and accuracy of the algorithm.

Benefits of technology

This method improves the convergence speed of the Gauss-Newton method and the robustness of transponder position estimation, solves the problem of poor positioning accuracy caused by improper initial value selection and abnormal measurement information, and achieves fast and accurate underwater transponder position calibration.

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Abstract

This invention discloses an underwater transponder location calibration method based on a triangulation-optimized Gauss-Newton algorithm. First, based on triangulation, initial values ​​are selected for iteration. Three suitable primitive positions are chosen based on distances between primitives to construct a triangularly divided region. The optimal initial values ​​of the Gauss-Newton iterative model are found by iteratively analyzing the divided region. Second, the transponder position is calculated using the Gauss-Newton algorithm. Finally, information anomaly handling based on a cost function is implemented: a cost function is introduced on top of the Gauss-Newton iterative algorithm to calculate the weight matrix of measurement information. Weighted processing is then used to resolve interference from abnormal information during the iteration process. This invention can solve the problem of poor positioning accuracy in ultra-short baseline systems caused by inaccurate transponder positions, enabling rapid and accurate acquisition of underwater transponder position information and further improving the positioning accuracy of ultra-short baseline systems.
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Citation Information

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