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Ground target identification method based on support vector data description

A data description and support vector technology, applied in character and pattern recognition, measurement devices, radio wave measurement systems, etc., can solve the problems of model incremental learning difficulties, failure to reject targets outside the library, etc.

Pending Publication Date: 2022-02-25
CNGC INST NO 206 OF CHINA ARMS IND GRP
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems that the traditional multi-classifier target recognition cannot reject targets outside the database and the model incremental learning is difficult

Method used

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  • Ground target identification method based on support vector data description
  • Ground target identification method based on support vector data description
  • Ground target identification method based on support vector data description

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0042] Taking the one-dimensional range image echo data of ground targets as an example, the specific implementation of the proposed method is described in detail.

[0043] Step 1: Preprocessing the original range image echo of the target. Because the original echo data of the target is affected by factors such as radial distance and radar transmission power, there are differences in amplitude and other asp...

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Abstract

The invention relates to a ground target identification method based on support vector data description, and belongs to the technical field of radar target identification. According to the method, the problem that model parameters are subversive due to target category increase in the iteration process of a traditional target recognition model is solved, a category of classifier support vector data description is adopted in the method to independently train a support vector data description model for each category of target features in a sample library, and independence between target models in the library is guaranteed. Therefore, for a new target type, only new target data needs to be trained, and the process has no influence on existing target model parameters. The method provided by the invention has a certain rejection capability while ensuring the target recognition precision, is convenient for efficiently realizing incremental learning of the model, and is convenient for subsequent model iteration and model library construction.

Description

technical field [0001] The invention belongs to the technical field of radar target recognition, and proposes a new ground target recognition method. The method adopts support vector data description to model each type of target and then completes the recognition of the ground target. The method can guarantee the recognition accuracy At the same time, it has the ability of rejecting judgments and efficient incremental learning. Background technique [0002] Radar target recognition is a technology that accurately determines the type of target based on target radar echoes. Ground target recognition is a typical application scenario of radar target recognition technology. The specific process can be roughly divided into ground target echo data acquisition and target feature extraction. , Target recognition three stages. Ground target echo data acquisition refers to the process of using radar equipment to obtain target echo data such as one-dimensional range images, two-dimens...

Claims

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Application Information

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IPC IPC(8): G01S7/41G01S13/88G06V10/764G06V10/46G06K9/62
CPCG01S13/88G01S7/411G01S7/418G06F18/2411
Inventor 冯超汪慧戴巧娜郭鹏程张江华
Owner CNGC INST NO 206 OF CHINA ARMS IND GRP
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