Low-rank sparse matrix decomposition echo enhancement method, system, medium and equipment

By performing matrix decomposition and convex optimization processing on active sonar echo data, low-rank reverb and sparse target echo are separated, and the problem of low target echo detection capability under the reverb background is solved, and effective enhancement of target echo and improvement of detection capability is achieved.

CN119986614AInactive Publication Date: 2025-05-13SHANGHAI MARINE ELECTRONIC EQUIP RES INST (NO 726 RES INST OF CHINA STATE SHIPBUILDING CORP)
3 Cites 0 Cited by

Patent Information

Application Number
CN202411881378.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-05-13
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In active sonar technology, marine environmental noise and reverb are the two main interference factors. Especially in the context of reverb, the target echo detection capability is greatly reduced, and it is difficult for the existing technology to effectively utilize the low rank and sparse characteristics of multi-frame echo data to enhance the target echo.

Method used

By beamforming and matrix construction of active sonar echo data, using convex optimization problems and augmented Lagrangian function, combined with alternating direction multiplier method, the echo data is decomposed into low-rank reverb and sparse target echo, thereby achieving enhanced target echo.

Benefits of technology

This method can efficiently extract target echoes accurately from strong reverberation backgrounds, improve the detection ability of active sonar, and has a small calculation amount and is easy to implement in engineering practice.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides a low-rank sparse matrix decomposition echo enhancement method and system, a medium and equipment, and the method comprises the steps: S1, carrying out the beam forming of active sonar echo data, and obtaining an azimuth distance map; s2, flattening each frame of azimuth distance map into vectors, and stacking the vectors into a matrix; s3, constructing an augmented Lagrange function; step S4, initializing parameters; step S5, based on an augmented Lagrange function, adopting an alternating direction multiplier method to solve sub-problems; and S6, repeating the step S5 until algorithm convergence is carried out to obtain enhanced active sonar echo data. According to the method, the low-rank characteristic of reverberation in multi-frame echo data and the sparse characteristic of target echoes are fully utilized, and the target echo enhancement problem is converted into the low-rank sparse matrix decomposition problem. Through the method, the target echo can be efficiently and accurately extracted from the strong reverberation background, and then the detection capability of the active sonar is improved.
Need to check novelty before this filing date? Find Prior Art