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Linear array subarray division method based on hybrid genetic algorithm

A hybrid genetic algorithm, linear array technology, applied in the direction of genetic law, constraint-based CAD, genetic model, etc., can solve the problem of high software and hardware complexity

Active Publication Date: 2021-06-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
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Problems solved by technology

[0005] The purpose of the invention is to propose a linear array sub-array division method combining genetic algorithm and convex optimization theory to reduce the complexity of the antenna system. Data processing complexity and radio frequency cost to get optimal subarray weights

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  • Linear array subarray division method based on hybrid genetic algorithm
  • Linear array subarray division method based on hybrid genetic algorithm
  • Linear array subarray division method based on hybrid genetic algorithm

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[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0033] The linear subarray division method of the present invention is suitable for the case of searching for the optimal subarray configuration for a large array. The present invention effectively divides the subarrays and calculates the optimal subarray weights under the premise of losing certain performance, which greatly reduces the The information processing complexity and radio frequency cost of the array can be applied to the linear array pattern synthesis problem in order to divide the array into multiple non-overlapping continuous sub-arrays. Aiming at the non-convex nature of the problem of sub-array division, the present invention uses genetic algorithm to find the optimal sub-array division scheme, converts the original non-c...

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Abstract

The invention discloses a linear array subarray division method based on a hybrid genetic algorithm, and belongs to the technical field of array signal processing. According to the method, an optimal sub-array division scheme is found by using a hybrid genetic algorithm, namely, each individual of the genetic algorithm is defined as a sub-array division scheme, after the sub-array division scheme is determined, solving is performed based on a constructed optimization model to obtain an optimal sub-array weight, and a peak side lobe is used as a fitness value of the individual, so that an optimal subarray division scheme is found by using a genetic algorithm. The method is suitable for optimal sub-array configuration of a large-scale array, and information processing complexity and radio frequency cost of the large-scale array are greatly reduced on the premise that constraint conditions are met.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, and in particular relates to a subarray-based linear array antenna pattern synthesis method. Background technique [0002] Due to the advantages of high gain, high resolution and high sensitivity, large arrays are widely used in modern wireless communication electronic systems and modern radar systems. In the early 1970s, large-scale array antennas were first used in the field of military radar. In addition, with the rapid development of microelectronics technology, the reduction of processing costs and device prices, large-scale array antennas have also begun to be used in civilian areas since this century. However, large-scale arrays often contain thousands or even tens of thousands of array elements. Not only the high cost restricts the development of large-scale arrays, but also the direct application of traditional array structures to large-scale arrays will cause many proble...

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Application Information

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IPC IPC(8): G06F30/27G06N3/12G06F111/04G06F111/06
CPCG06F30/27G06N3/126G06F2111/04G06F2111/06
Inventor 石全虎郑植王文钦
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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