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Sparse Reconstruction Method of Radar 3D Heterogeneous Array Based on Maximum Signal-to-Noise Ratio

A signal-to-noise ratio and sparse reconstruction technology is applied in the radar field to achieve the effect of suppressing clutter and solving the limited number of training samples

Active Publication Date: 2020-04-10
XIDIAN UNIV +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] In view of the problems existing in the above-mentioned prior art, the object of the present invention is to propose a sparse reconstruction method based on the radar three-dimensional heterogeneous array with the largest signal-to-noise ratio. The structural method can solve the problem that a large number of training samples are required for the clutter covariance matrix estimation of the full space-time adaptive processing in the case of three-dimensional heterogeneous arrays, and can reduce the number of training samples required for the clutter covariance matrix estimation and improve the clutter suppression performance

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  • Sparse Reconstruction Method of Radar 3D Heterogeneous Array Based on Maximum Signal-to-Noise Ratio
  • Sparse Reconstruction Method of Radar 3D Heterogeneous Array Based on Maximum Signal-to-Noise Ratio
  • Sparse Reconstruction Method of Radar 3D Heterogeneous Array Based on Maximum Signal-to-Noise Ratio

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Embodiment Construction

[0025] refer to figure 1 , is a flow chart of a method for sparsely reconstructing a three-dimensional heterogeneous array of radar based on a maximum signal-to-noise ratio of the present invention; wherein the method for sparsely reconstructing a three-dimensional heterogeneous array of radar based on a maximum signal-to-noise ratio includes the following steps:

[0026] Step 1, determine the three-dimensional cylindrical array radar, there is a target within the detection range of the three-dimensional cylindrical array radar, and obtain the three-dimensional heterogeneous array airborne radar clutter space-time steering vector matrix A N×K×L ; This embodiment simulates the three-dimensional cylindrical array radar to obtain the three-dimensional heterogeneous array airborne radar clutter space-time steering vector matrix.

[0027] Specifically: A N×K×L is the N×K×L dimensional three-dimensional data matrix, N is the number of array elements contained in the three-dimension...

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Abstract

The invention discloses a radar three-dimensional heterogeneous array sparse reconstruction method based on maximum signal-clutter-noise ratio. The radar three-dimensional heterogeneous array sparse reconstruction method based on maximum signal-clutter-noise ratio includes the steps: determining a three-dimensional cylindrical array, wherein a target exists in the detection range of the three-dimensional cylindrical array, and obtaining a three-dimensional heterogeneous array airborne radar clutter space time steering vector matrix; converting the three-dimensional heterogeneous array airborne radar clutter space time steering vector matrix into a two-dimensional steering vector matrix, and calculating a determinant of the covariance matrix of the target clutter; calculating the output signal-clutter-noise ratio of the three-dimensional heterogeneous array airborne radar and the determinant representation form of the output signal-clutter-noise ratio of the three-dimensional heterogeneous array airborne radar; and defining a binary selection vector, and calculating the rewriting formula of the determinant representation form of the output signal-clutter-noise ratio of the three-dimensional heterogeneous array airborne radar, and calculating the sparse dimension reducing matrix of the three-dimensional heterogeneous array airborne radar and the filtering result of the three-dimensional heterogeneous array airborne radar, wherein the filtering result of the three-dimensional heterogeneous array airborne radar is the radar three-dimensional heterogeneous array sparse reconstruction result based on the maximum signal-clutter-noise ratio.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to a radar three-dimensional heterogeneous array sparse reconstruction method based on the largest signal-to-noise ratio, which is suitable for clutter suppression of an airborne three-dimensional heterogeneous array radar. Background technique [0002] The antenna conformal to the fuselage has many advantages, such as better aerodynamic characteristics, better stealth performance, larger antenna area, etc., so its application prospect is broad; but the multi-curved surface characteristics of the fuselage make the antenna also have multi-curved surfaces structure, and then generate a three-dimensional heterogeneous array problem; compared with a two-dimensional planar array, the clutter characteristics of a three-dimensional heterogeneous array will become very complicated, and this complexity is reflected in the more complex mutual coupling characteristics between units, The polarizati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41G01S7/36
CPCG01S7/36G01S7/41
Inventor 吴建新张媛媛王彤位翠萍
Owner XIDIAN UNIV