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True and false target one dimensional range image quadrature non-linear subspace feature extraction method

A technology of subspace features and extraction methods, applied in the field of radar, to achieve the effect of improving recognition performance, improving recognition performance, and reducing redundant information

Active Publication Date: 2017-10-10
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

The above factors will limit the feature extraction performance of the regular subspace method based on the kernel function, so there

Method used

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  • True and false target one dimensional range image quadrature non-linear subspace feature extraction method
  • True and false target one dimensional range image quadrature non-linear subspace feature extraction method
  • True and false target one dimensional range image quadrature non-linear subspace feature extraction method

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Experimental program
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Embodiment

[0097] Four point targets are designed: true target, fragment, lightly baited and heavily baited target.

[0098] 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 point of the real target is 7, and the remaining three targets (debris, light decoy and Heavy Lures) all have 10 scatter points. In the one-dimensional range images with target attitude angles ranging from 0° to 80° at intervals of 1°, take the one-dimensional distances with target attitude angles of 0°, 2°, 4°, 6°,...,80° The one-dimensional range images of the other attitude angles are used as test data, and there are 40 test samples for each type of target. In the experiment, the kernel function is a Gaussian kernel function where σ 2 = 6.2. Experiments show that for other kernel functions, the nonlinear projection feature extraction method of one-dimensi...

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Abstract

The invention belongs to the radar technical field, and relates to a true and false target one dimensional range image quadrature non-linear subspace feature extraction method comprising the following steps: carrying out non-linear transformation for the target one dimensional range image; mapping the image to a high dimension linear feature space; building a quadrature non-linear transformation matrix in the high dimension feature space, and extracting non-linear features. The method can effectively improve the identification performance of the radar identifying true and false targets.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to a method for extracting a feature of a one-dimensional range image of a true and false target in an orthogonal nonlinear subspace. Background technique [0002] The high-resolution radar can obtain the one-dimensional range image information of the target, and the one-dimensional range image reflects the distribution of the target scattering points on the radar line of sight. Compared with the target radar cross-sectional area obtained by the low-resolution radar, the one-dimensional range The image can provide more information about the structure and shape of the target, and this information is very beneficial to the classification of the target. [0003] The feature extraction method based on subspace is widely used in the recognition of real and false radar targets, and has achieved good recognition results. Among them, the more representative methods are the characteristic subspa...

Claims

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Application Information

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IPC IPC(8): G01S7/292G01S7/295G01S7/41G01S13/08G01S13/89
CPCG01S7/2923G01S7/295G01S7/41G01S13/08G01S13/89
Inventor 周代英廖阔张瑛梁菁
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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