Source number estimation method based on orthogonal matching pursuit and signal subspace matching

By employing orthogonal matching pursuit and signal subspace matching, a robust source number estimation method is constructed, which solves the problems of low signal-to-noise ratio and few snapshots in underwater acoustic environments, and achieves accurate estimation of the source number. This method is applicable to coherent sources and colored noise scenarios.

CN120103267BActive Publication Date: 2026-01-13HARBIN ENG UNIV
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Patent Information

Application Number
CN202510304647.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-03-14
Publication Date
2026-01-13
Estimated Expiration
2045-03-14

AI Technical Summary

Technical Problem

In underwater acoustic environments, array snapshot data has a low signal-to-noise ratio and is susceptible to interference from colored noise and coherent sources. Furthermore, the number of effective snapshots for high-speed moving targets is relatively small, resulting in low accuracy of traditional source number estimation.

Method used

A source number estimation method based on orthogonal matching pursuit and signal subspace matching is adopted. Two subspaces are constructed by iteratively solving the support vector and the eigenvector corresponding to the largest eigenvalue of its residual, and the source number is estimated by the signal subspace matching criterion.

Benefits of technology

In complex underwater acoustic environments, the method can accurately estimate the number of sources under conditions of low signal-to-noise ratio and small snapshots. It is applicable to coherent sources and colored noise scenarios, and shows good estimation performance.

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Abstract

The application relates to a source number estimation method based on orthogonal matching pursuit and signal subspace matching, and relates to a source number estimation method. The application aims to solve the problem that in an underwater acoustic environment, the signal-to-noise ratio of array snapshot data is usually not high, and is easily disturbed by colored noise and coherent sources, and for a high-speed moving target, the effective snapshot number is small, thus leading to low accuracy of traditional source number estimation. The application uses an orthogonal matching pursuit method to iteratively solve a support vector, and uses a characteristic vector corresponding to a maximum characteristic value of a residual to construct two subspaces, and realizes source number estimation through a signal subspace matching criterion. Simulation results show that compared with existing source number estimation methods, the application method has a lower requirement for a signal-to-noise ratio, performs better under small snapshot conditions, and is not sensitive to coherent sources and colored noise. Lake test data processing results show that the method can effectively estimate the number of fixed and moving underwater acoustic targets.
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