Estimation of DOA for moving platform vector hydrophone array based on linear prediction and ETAM algorithm

By combining linear prediction and the ETAM algorithm to extend the array aperture, the problem of insufficient accuracy in underwater detection systems in terms of operating range and target orientation estimation was solved, achieving high-resolution and reliable target tracking.

CN118604722BActive Publication Date: 2026-06-23NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Application Number
CN202410722458.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-05
Publication Date
2026-06-23
Estimated Expiration
2044-06-05

AI Technical Summary

Technical Problem

Existing underwater detection systems are insufficient in terms of range and target orientation estimation accuracy, making it difficult to achieve high-resolution estimation and reliable tracking. Traditional methods are limited by array aperture and signal-to-noise ratio.

Method used

By combining linear prediction algorithms with the ETAM algorithm for vector hydrophone arrays, high-order linear prediction is performed by constructing a virtual array data matrix after synthetic aperture, and the virtual array is expanded. Then, the azimuth is estimated using conventional beamforming algorithms for vector hydrophone arrays.

Benefits of technology

In the case of low signal-to-noise ratio and few array elements, the target azimuth estimation accuracy and resolution of underwater motion arrays are improved, and high-resolution estimation and reliable tracking are achieved.

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Abstract

The application belongs to the field of underwater target direction estimation, and combines a linear prediction algorithm with an ETAM algorithm of a vector hydrophone array to estimate the direction of an underwater target. Specifically, the application comprises the following steps: 1) constructing a data matrix of a virtual array after synthetic aperture by using the principle of the ETAM algorithm of the vector hydrophone array; 2) performing high-order linear prediction to solve forward and backward linear prediction coefficient vectors of the matrix; 3) extending the virtual array by k elements to the right or to the left; and 4) performing direction estimation on a signal matrix received by the extended virtual array in the previous step by using a conventional beam forming algorithm of the vector hydrophone array to obtain the target angle. The DOA estimation method of the moving platform vector hydrophone array based on the linear prediction and the ETAM algorithm can realize target direction estimation under the condition of lower signal-to-noise ratio and fewer array elements, and improves the target direction estimation precision and resolution of the underwater moving array.
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