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Method for extracting features of one-dimensional range profile of radar true/false target in maximum margin subspace

A technology of maximum interval and radar target, which is applied in the direction of radio wave measurement system, instrument, etc., can solve the problems of overlapping distribution area of ​​heterogeneous target data, and the decline of recognition of regular subspace feature extraction method, so as to reduce the overlap between classes, The effect of improving recognition performance

Inactive Publication Date: 2018-02-09
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] However, due to the influence of factors such as background noise and azimuth angle, the spatial distribution of the target data is obviously scattered, resulting in serious overlap between the distribution areas of heterogeneous target data, which reduces the recognition of the conventional regular subspace feature extraction method.
Therefore, there is room for further improvement in the recognition performance of conventional regularized subspace methods

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  • Method for extracting features of one-dimensional range profile of radar true/false target in maximum margin subspace
  • Method for extracting features of one-dimensional range profile of radar true/false target in maximum margin subspace
  • Method for extracting features of one-dimensional range profile of radar true/false target in maximum margin subspace

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[0032] 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 embodiments.

[0033] In order to verify the effectiveness of the present invention, the following simulation experiments are carried out.

[0034] Four point targets are designed: true target, fragment, light bait, and heavy bait. The bandwidth of the radar emission pulse is 1000MHZ (the distance resolution is 0.15m, the radar radial sampling interval is 0.075m), the target is set as a uniform scattering point target, the scattering points of the warhead target are 7, and the scattering points of the other three targets are all 11 . In the one-dimensional range images with target attitude angles ranging from 0° to 100° at intervals of 1°, take the one-dimensional distances with target attitude angles of 0°, 2°, 4°, 6°, ..., 100° The one-dimensional range images of the other attitude an...

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Abstract

The invention discloses a method for extracting the features of the one-dimensional range profile of a radar true / false target in a maximum margin subspace, which belongs to the technical field of radar target recognition. First, a maximum margin subspace matrix W is trained based on a training sample set about the one-dimensional range profile of a radar target. Then, during training, an objective equation for solving W is constructed based on a between-class scatter matrix SB and a within-class scatter matrix SW of a training sample xij. Finally, based on the trained matrix W, the one-dimensional range profile of a radar true / false target of which the sub image features are to be extracted is mapped to the matrix W to get sub image features. By increasing the between-class scatter distance and reducing the within-class scatter distance, the between-class separation interval reaches the maximum, and between-class overlap is reduced. Moreover, the dimension of the feature vector obtained by the method is not restricted by the number of classes, a more favorable feature dimension can be obtained, and therefore, the efficiency of target recognition is improved.

Description

technical field [0001] The invention relates to the technical field of radar target recognition, in particular to a method for extracting one-dimensional range profile features of real and false radar targets in a maximum interval subspace. Background technique [0002] In the field of radar target recognition technology, the one-dimensional range image of a radar target reflects the distribution of the target scattering center on the radar line of sight, and embodies physical information such as the shape and structure of the target, which can be easily obtained by high-resolution radar. Therefore, the one-dimensional distance Imagery is widely used in radar target recognition processing. [0003] The eigensubspace method and the canonical subspace method can extract the global features of the target and have good recognition performance, and are widely used in the one-dimensional range image recognition of radar targets. In addition, the canonical subspace method improves...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 周代英张瑛李文辉但瑞
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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