Full Bayes feature extraction method for synthesizing aperture radar object

A synthetic aperture radar and feature extraction technology, applied in the radar field, can solve the problem of excessive memory usage

Active Publication Date: 2015-11-11
XIDIAN UNIV +1
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Problems solved by technology

[0005] In view of the above-mentioned shortcomings, the purpose of the present invention is to propose a full Bayesian feature extraction method for synthetic aperture radar targets, which can overcome the sh

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  • Full Bayes feature extraction method for synthesizing aperture radar object
  • Full Bayes feature extraction method for synthesizing aperture radar object
  • Full Bayes feature extraction method for synthesizing aperture radar object

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Embodiment Construction

[0107] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0108] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0109] Step 1, obtain the attribute scattering center model of the radar echo signal.

[0110] Introduce an attribute scattering center model of the radar echo signal:

[0111] E ( f , φ ) = Σ i = ...

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Abstract

The invention provides a full Bayes features extraction method for synthesizing an aperture radar object, which can adaptively estimate the quantity of the attribute scattering centers and parameters of the attribute scattering centers. The full Bayes feature extraction method for synthesizing aperture radar object comprises steps of receiving a attribute scattering center model of a radar echo signal, determining distribution of posterior probability that each unknown characteristic parameters is subordinated to, establishing a whole layered Bayes model, determining unite posteriori possibility distribution of all unknown parameters in the attribute scattering center model, determining suggestion distribution of each unknown parameter, performing sampling on each unknown characteristic parameter, obtaining N sampling values of each unknown characteristic parameter, generating a Markov chain of the unknown characteristic parameter according to the N sampling values of each unknown characteristic parameters, and determining an estimation value of each unknown characteristic parameter.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to a full Bayesian feature extraction method for synthetic aperture radar targets, which can be used for automatic recognition of synthetic aperture radar targets. Background technique [0002] Extracting and estimating characteristic parameters of scattering centers from radar signals is a hot issue in the field of radar target recognition applications. The attribute scattering center model can realize the simple and accurate description of the target scattering center by introducing multi-dimensional parameters with clear physical meanings. By analyzing the model parameters, it can further analyze various properties such as the geometric size and scattering type of the scattering center. The attribute scattering center model provides more complete electromagnetic and geometric property information for scattering centers from the perspective of geometric diffraction solution and physica...

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9027
Inventor 陈渤霍帅丛玉来
Owner XIDIAN UNIV
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