Maneuvering array orientation estimation method based on sparse Bayesian learning

A sparse Bayesian and azimuth estimation technology, applied in the field of maneuvering array azimuth estimation based on sparse Bayesian learning, can solve problems such as unsatisfactory performance, improve the accuracy of azimuth estimation and azimuth resolution, and solve the ambiguity of starboard and starboard , Suppress the effect of port and starboard blur
CN112766304APending Publication Date: 2021-05-07HARBIN ENG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HARBIN ENG UNIV
Publication Date
2021-05-07

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Abstract

The invention relates to a maneuvering array orientation estimation method based on sparse Bayesian learning. The invention relates to the technical field of sonar detection, and the method comprises the steps of constructing a maneuvering array sparse signal model according to a sonar array shape and an array directional angle provided by a platform navigation system; based on Gaussian distribution hypothesis of received noise, establishing a maneuvering array sparse Bayesian learning framework, and determining a posterior distribution form of array received signals; and performing logarithm maximization operation according to the posterior distribution form of the array receiving signals to obtain a far-field target orientation. According to the invention, the maneuvering array orientation estimation problem is solved by using the thought of sparse Bayesian learning, the orientation estimation precision and the orientation resolution capability are effectively improved, and meanwhile, the ambiguity of the port and the starboard can be more effectively inhibited.
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Description

Technical field

[0001] The present invention relates to the field of sonar detection techniques, and is a maneuvering array orientation estimation method based on sparsebased.Background technique

[0002] A position for far field goals is one of the important tasks of passive nna. In recent years, the sonar array has been widely installed on mobile platforms such as unin-underwater steam. With the mobile platform, the left-right direction of the left-right direction in the right side of the linear sonar array can be effectively solved. When the platform is mobile, the movement of the sonar array can be decomposed into translational motion and array pointing changes. The panning motion distance of the array can be ignored compared to the distance between the far field goals and the platform. Array points change cause the time change of the target orientation information in the pick-up, and thus cannot be ignored. For many traditional orientation estimation methods, such as minimum variance...

Claims

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