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Radar array sparse optimization method based on improved genetic algorithm

An improved genetic algorithm and radar array technology, which is applied in the field of radar signal processing, can solve the problems of small amount of calculation and poor universal applicability, and achieve the effect of simple array arrangement, guaranteed space performance, and reduced complexity

Active Publication Date: 2019-05-07
XIDIAN UNIV
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Problems solved by technology

[0003] Radar array sparse optimization methods are mainly divided into two categories: one is the analytical method, which mainly uses the special mathematical relationship between the specific array distribution and the excitation for optimization. This method has a small amount of calculation and is easy to implement, but its general applicability is poor. ; The second is the intelligent optimization algorithm, which mainly imitates some behaviors in nature to achieve the purpose of sparseness. This type of algorithm has strong versatility, and can optimize some performances of the radar array while sparse array elements

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[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] figure 1 Shown is a schematic flowchart of a radar array sparse optimization method based on an improved genetic algorithm provided by an embodiment of the present invention.

[0040] Such as figure 1 As shown, the radar array sparse optimization method based on the improved genetic algorithm provided by the embodiment of the present invention includes the following steps:

[0041] Step 1, encoding: the radar array is a hemispherical array with a tota...

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Abstract

The invention discloses a radar array sparse optimization method based on an improved genetic algorithm. The mathematical model of the genetic algorithm is established, the population is initialized,and the cross-covariance arithmetic is performed on the chromosomes in the population; the best chromosome is selected, and the array element sparse mode corresponding to the best chromosome is used as the optimal arrangement of the array elements in the radar array because the radar array is a hemispherical array with spiral distribution, the array elements in the array are encoded. The radar array sparse optimization method based on the improved genetic algorithm has the advantages of simple layout, simple engineering implementation, and effective reduction of the complexity of the subsequent signal processing part, and ensures the spatial performance of the radar array since the array element sparse mode is used and the 3dB beamwidth is used as a constraint.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a radar array sparse optimization method based on an improved genetic algorithm, which is suitable for a hemispherical radar array with a large number of array elements and a helical distribution. Select several array elements to compress data volume and reduce signal processing pressure. Background technique [0002] Throughout the development of radar, compared with the current array radar with tens of thousands of elements, the early single-element radar has the advantages of good directivity, strong interference clutter suppression ability, long detection distance and high detection accuracy. The hemispherical array has the advantages of wide beam angle of view. However, the early single-array radar has the disadvantages of large volume, heavy weight, high power, high engineering complexity and difficult signal processing. In response to the abov...

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Application Information

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IPC IPC(8): G01S7/02G06N3/12
Inventor 朱圣棋周季峰曾操廖桂生许京伟王鹏罗丹
Owner XIDIAN UNIV
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