A Joint Optimization Method for 4D Antenna Arrays for Irregular Subarray Arrangement

Abstract

The invention discloses a four-dimensional antenna array joint optimization algorithm with irregular sub-array arrangement, which introduces the definition of information entropy into the four-dimensional array, divides the original complex optimization problem into two sub-problems, and then divides it into two steps for optimization. In the first step, the genetic algorithm based on information entropy is used to optimize the array topology structure with the largest information entropy value according to the subarray arrangement algorithm. Information such as the static excitation phase of each sub-array, the duration of switch closure, and the start time of switch closure can make the entire optimization problem more efficient. The greatest innovation of the present invention lies in digging out the essential characteristics of the original optimization problem, combining the genetic algorithm based on information entropy and the differential evolution algorithm for optimization, reducing the complexity of the original optimization problem, and saving half of the T / R components. The characteristics of low sidelobe and low sideband under large-angle scanning are guaranteed.

Description

technical field [0001] The invention belongs to the technical field of antennas, and relates to the synthesis of four-dimensional antenna arrays based on irregular sub-arrays. Specifically, a joint optimization method is used to efficiently synthesize four-dimensional antenna arrays. This joint algorithm mainly uses the principle of information entropy, and divides the synthesis of four-dimensional antenna array into two steps. First, the topology of the irregular array is optimized by genetic algorithm, and then the target pattern is synthesized as needed. Background technique [0002] Phased array antennas are widely used in the radar and communication fields because they can achieve the purpose of beam scanning by changing the phase. At the same time, the amplitude and phase weighting methods of conventional phased arrays are difficult to meet the requirements of low sidelobes of antenna arrays, which limits the application range of antennas. [0003] The concept of the ...

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Problems solved by technology

Although a periodic array with a large unit spacing can solve the above-mentioned arrangement and processing problems, due to the increase of the unit spacing, the sidelobe level of the array increases, and even grating lobes appear, limiting the array to scan only a small angle

[0005] Considering the basic principle of the antenna array, the periodicity of the array arrangement is the main cause of the grating lobes of the pattern, so how to break the periodicity of the array becomes the main idea of ​​suppressing the grating lobes. R.J.Mailloux, Andrea Massa et al proposed They used the method of irregular sub-array to break the periodicity of the array, but because the optimization problem is too complicated, their scheme can only realize one-dimensional scanning, which is poor in engineering applicability

The patent No. CN 107230843 A adopts a similar scheme to realize two-dimensional scanning, but the scanning performance is not strong. The sub-arrays composed of two units are arranged at 0.7 wavelength intervals under the 20×20 array. Only two-dimensional scanning of ±20° can be realized. This solution has not fully utilized the scanning advantages of irregular sub-arrays, and its applicability in engineering is poor.

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