Compression sensing and convex optimization-based near-field sparse antenna array optimization method

A technology of antenna array and optimization method, applied in antenna array, antenna, design optimization/simulation, etc., can solve the problem of no effective near-field sparse antenna array, etc., and achieve the effect of reducing the number of antenna array elements

Active Publication Date: 2018-08-24
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0006] The present invention aims at the above-mentioned problem that there is no effective near-field sparse antenna array optimizat

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  • Compression sensing and convex optimization-based near-field sparse antenna array optimization method
  • Compression sensing and convex optimization-based near-field sparse antenna array optimization method
  • Compression sensing and convex optimization-based near-field sparse antenna array optimization method

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Embodiment Construction

[0047] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0048] A near-field sparse antenna array optimization method based on compressed sensing and convex optimization, comprising the following steps:

[0049] 1. Step 1. Determine the template pattern of any shape in the radiation near-field area that needs to be sparsely optimized;

[0050] 2. Step 2. Establish a near-field sparse distribution optimization model

[0051] Determined near-field template pattern E ref After (r), the spars...

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Abstract

The invention provides a compression sensing and convex optimization-based near-field sparse antenna array optimization method. The method comprises the following steps of: 1, determining a template pattern, having any shape, in a radiation near-field region needing radiating near-field region; 2, establishing a near-field sparse optimization model; 3, solving a near-field sparse problem by adoption of a Bayesian compression sensing theory; and 4, adding limiting to a minimum inter-array element distance through post-processing and convex optimization. The compression sensing and convex optimization-based near-field sparse antenna array optimization method is disclosed for the first time; and under the premise that a radiation near-field region pattern generated by adoption of the method is consistent with a given template pattern, the antenna array element number can be remarkably reduced when being compared with traditional uniform antenna arrays for generating template patterns.

Description

technical field [0001] The invention belongs to the technical field of antennas, and in particular relates to an optimal arrangement method of a near-field antenna array, in particular to an optimization method for a near-field sparse antenna array based on Bayesian compressed sensing and a convex optimization algorithm. Background technique [0002] Near-field focusing array antennas have been used in various fields such as industry and medicine, such as microwave imaging, remote sensing, wireless energy transmission, radio frequency identification, microwave hyperthermia, etc. [0003] Generally, if you want to have better near-field focusing performance such as smaller focal spot size, lower sidelobes, and complex-shaped near-field beams, the aperture of the near-field antenna array will be larger. The most direct way to increase the aperture size of the array is to increase the number of elements, but this will drastically increase the weight of the antenna, the difficul...

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Application Information

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IPC IPC(8): G06F17/50H01Q21/00
CPCG06F30/20H01Q21/00
Inventor 程钰间黄子轩吴亚飞樊勇宋开军林先其张波
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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