Radar high-resolution range profile target recognition method based on iMMFA (infinite max-margin factor analysis) model

A high-resolution range image and target recognition technology, which is applied in the field of radar high-resolution range image HRRP target recognition, can solve problems such as unsupervised, affecting classification performance, and difficult to guarantee data separability

Active Publication Date: 2015-12-02
XIDIAN UNIV +1
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Problems solved by technology

However, this type of model has two shortcomings: one is the model selection problem, that is, how to choose the number of sample clusters is very difficult; the other is that the clustering process of the sample set is unsupervised and independent of the back-end classifier task, thus It is difficult to ensure the separability of data in each cluster, which affects the overall classification performance

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  • Radar high-resolution range profile target recognition method based on iMMFA (infinite max-margin factor analysis) model
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  • Radar high-resolution range profile target recognition method based on iMMFA (infinite max-margin factor analysis) model

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[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] The present invention proposes that iMMFA unifies the FA model, the TSB-DPM model and the LVSVM classifier to jointly solve under the Bayesian framework, where LVSVM (Latent variable SVM, latent variable SVM) is used as the classifier, see [PolsonN.G. , ScottS.L..Dataaugmentationforsupportvectormachines[J].BayesianAnalysis, 2011, vol.6(1), 1-24], the introduction of FA model to achieve.

[0109] refer to figure 1 , the specific implementation of the pr...

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Abstract

The invention belongs to the technical field of radars, and discloses a radar high-resolution range profile target recognition method based on an iMMFA (infinite max-margin factor analysis) model so as to improve classification performance of the radar and reduce solving complexity of the model. The method comprises steps: radar high-resolution range profiles of M categories of targets; feature extraction is carried out on each radar high-resolution range profile; an iMMFA model is built; an initial value of each parameter of the iMMFA model is set, according to a Gibbs sampling rule, after a preheating process of I0 times of iteration, sampling values of each parameter at T0 times are stored respectively; a final FA model, a final TSB-DPM model and a final LVSVM classifier are determined, and a final iMMFA model is formed; a radar high-resolution range profile of a test target is acquired, and feature extraction is carried out on the radar high-resolution range profile of the test target; and according to a clustering label of a test hidden variable as described in the description, a target category to which the test target belongs is determined.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a target recognition method based on a radar high-resolution range profile HRRP based on an infinite maximum margin factor analysis iMMFA (infinitemax-marginfactoranalysis) model, which is used to identify targets such as aircraft and vehicles. Background technique [0002] Radar target recognition is to use the radar echo signal of the target to realize the judgment of the target type. Broadband radar usually works in the optical region, where the target can be regarded as composed of a large number of scattered points with different intensities. The high-resolution range profile HRRP (High-resolution range profile) is composed of the vector sum of the echoes of each scattering point on the target body obtained by the broadband radar signal. It reflects the distribution of each scattering point on the target along the radar line of sight, contains the important struct...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 陈渤丁艳华张学锋
Owner XIDIAN UNIV
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