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Grid deviation space-time adaptive processing method based on local grid splitting

A space-time self-adaptive, processing method technology, applied in the field of data processing, can solve problems such as low efficiency and massive calculations, and achieve the effects of saving computing resources, improving performance, and optimizing processing efficiency

Active Publication Date: 2021-06-04
XIDIAN UNIV
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  • Abstract
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Problems solved by technology

However, this method still requires a lot of calculations in the local search process, and several experiments are required to reasonably divide the size of the local grid when searching for the best accuracy, so the efficiency is low

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  • Grid deviation space-time adaptive processing method based on local grid splitting
  • Grid deviation space-time adaptive processing method based on local grid splitting
  • Grid deviation space-time adaptive processing method based on local grid splitting

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Embodiment Construction

[0058] In order to further explain the technical means and effects adopted by the present invention to achieve the intended purpose of the invention, the space-time adaptive processing method for grid deviation based on local grid splitting proposed according to the present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation methods illustrate.

[0059] The aforementioned and other technical contents, features and effects of the present invention can be clearly presented in the following detailed description of specific implementations with accompanying drawings. Through the description of specific embodiments, the technical means and effects of the present invention to achieve the intended purpose can be understood more deeply and specifically, but the accompanying drawings are only for reference and description, and are not used to explain the technical aspects of the present invention. program is limited.

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Abstract

The invention discloses a grid deviation space-time adaptive processing method based on local grid splitting. The method comprises the following steps: acquiring a space-time adaptive processing dictionary and a clutter covariance matrix of a clutter space; initializing an orthogonal projection matrix and a noise projection matrix of the clutter space, and initializing a space-time steering vector set, a clutter atom subscript set, a global iteration number, a global iteration threshold, a local iteration number, a local iteration error threshold and a local maximum iteration number; searching space-time steering vectors of clutters in the space-time adaptive processing dictionary, forming a space-time steering vector set of an updated clutter space by the space-time steering vectors, and calculating a noise projection matrix of the updated clutter space; and according to the updated noise projection matrix of the clutter space, obtaining a space-time adaptive processing weighting vector of grid mismatch. According to the method, the problem that the estimation precision is related to the number of local grid division is solved, the operand is reduced, and the method has better processing efficiency.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a grid deviation space-time adaptive processing method based on local grid splitting, which can be used for wide-area early warning radar. Background technique [0002] Space-time adaptive processing (STAP) is an effective method to detect slow targets. However, under extremely non-uniform clutter conditions, the method of using clutter units of adjacent range gates as training samples to estimate the clutter space is no longer applicable due to the range-space variability. In recent years, the sparse recovery algorithm is often used to reconstruct the angle-Doppler spectrum of clutter to obtain the processing performance close to the optimal processor, that is, to discretize the space-time two-dimensional plane into a grid. However, since the real clutter point does not fall in the center of the grid, that is, the grid deviates, and the performance of clutte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/414
Inventor 杨志伟王榕刘艳阳何鹏远
Owner XIDIAN UNIV
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