Underwater electric field source localization method based on determinant orthogonal propagation operator and adaptive hybrid driven differential evolution

By employing a method combining determinant orthogonal propagation operators and adaptive hybrid-driven differential evolution, the problem of high computational complexity in underwater electric field localization is solved, achieving high-precision and fast underwater electric field source localization, which is suitable for complex underwater environments.

CN122085212BActive Publication Date: 2026-07-03烟台哈尔滨工程大学研究院
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
烟台哈尔滨工程大学研究院
Filing Date
2026-04-24
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing underwater electric field positioning methods suffer from high computational complexity, low positioning accuracy, and difficulty in meeting real-time requirements. In particular, the computational load is large in high-dimensional spatial target positioning, making them difficult to apply to complex underwater environments.

Method used

A method based on determinant orthogonal propagation operator and adaptive hybrid-driven differential evolution is adopted. By constructing a projection operator matrix orthogonal to the array manifold, combining determinant operation to construct a spatial spectral function, and constructing an adaptive hybrid-driven differential evolution framework to optimize the target position coordinates.

Benefits of technology

It reduces computational complexity, improves positioning accuracy and calculation speed, meets real-time requirements, enhances the ability to distinguish weak electric field signals, and has good robustness and adaptability.

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Abstract

This invention discloses an underwater electric field source localization method based on a determinant orthogonal propagation operator and adaptive hybrid-driven differential evolution, belonging to the field of electromagnetic positioning and detection. This invention acquires and receives array signals and calculates the covariance matrix. Based on the propagation operator, it constructs a projection operator matrix orthogonal to the array manifold to replace the noise subspace, thereby constructing a determinant spatial spectrum function and defining a cost function. Then, based on this cost function, it constructs an adaptive hybrid-driven differential evolution framework, fusing the alpha evolution algorithm and an adaptive differential evolution algorithm based on successful historical records to solve for the target position coordinates. This invention eliminates the need for eigenvalue decomposition, reducing computational complexity, and accelerates convergence through an adaptive hybrid-driven search strategy, enabling fast and high-precision electric field source localization in complex underwater environments.
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Citation Information

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