Sparse antenna pattern synthesis method based on ant lion algorithm

A pattern synthesis, sparse antenna technology, applied in the field of sparse antenna pattern synthesis, can solve the problem of not taking into account, the influence of antenna array characteristics, not taking into account the sparse process, etc., to improve the suppression performance, multi-group diversity, improve The effect of inhibiting ability

Active Publication Date: 2019-01-18
XIDIAN UNIV +1
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Problems solved by technology

However, there are insurmountable defects in the uniform array: when the incident wavelength is small, there will be mutual coupling effect between the array elements, which will seriously affect the characteristics of the antenna array; moreover, the main lobe width of the array antenna pattern amplitude is usually inversely proportional to its aperture, To achieve a narrower main lobe, the number of antenna elements needs to be increased, and the cost of the array antenna will increase accordingly
However, the disadvantages of this method are: the invention does not take into account that in the process of sparseness, it is easy to fall into the local optimal situation, and it is impossible to obtain a direction diagram similar to other situations when the initial position of the array is not good. Lobe suppression performance, the occurrence of these situations will cause the decline in the suppression performance of the side lobe and main lobe width of the antenna pattern
[0004] Harbin Institute of Technology disclosed a sparse antenna based on quantum bat search in its patent document "Antenna array sparse construction and pattern synthesis method based on quantum bat search" (patent application number: 201510012377.3, application publication number: CN104537185A) Array pattern synthesis method, the steps of this patent application are as follows: establish an array model, establish an optimization model, optimize the above model by using the quantum bat search method, obtain the global quantum position of a continuous bat population and its mapped position, and calculate the fitness of the population value and obtain the optimal excitation amplitude of the antenna array; this patent improves the global search performance in the iterative process by introducing a quantum bat search mechanism in the sparse process of the antenna array, but the method still has the following shortcomings: the The invention does not take into account that in the process of sparseness, it is easy to fall into the local optimal situation, and in the case of poor initial excitation of the array, the sidelobe suppression performance of the pattern similar to that of other situations cannot be obtained. The occurrence of these situations will cause the antenna pattern Degradation of Sidelobe and Mainlobe Width Suppression Performance

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  • Sparse antenna pattern synthesis method based on ant lion algorithm
  • Sparse antenna pattern synthesis method based on ant lion algorithm
  • Sparse antenna pattern synthesis method based on ant lion algorithm

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Embodiment Construction

[0048] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0049] refer to figure 1 , the steps of the present invention are further described in detail.

[0050] Step 1, establish a sparse antenna model.

[0051] In the xoy coordinate axis along the x-axis direction, a sparse antenna model is established according to the number of array elements of the sparse antenna and the full array element spacing.

[0052] Step 2, initialize the sparse antenna population.

[0053] The sparse antenna population is established according to the total number of sparse antennas with the sparse antenna model as an individual.

[0054] Step 3, construct the fitness function.

[0055] Calculate the magnitude of the pattern of each sparse antenna in the sparse antenna population according to the following formula:

[0056]

[0057] Among them, AF(θ) i Indicates the amplitude of the pattern of the i-th sparse ant...

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Abstract

The invention provides a sparse antenna pattern synthesis method based on an ant lion algorithm, which is mainly used for solving the problems that the prior art is prone to trap into local optimization in the process of side lobe suppression of the sparse antenna, and overly relies on an initial solution, so as to reduce the side lobe suppression ability of the sparse antenna. The initializing population is divided into an elite ant lion, ant lion populations and ant populations according to the fitness value, At the same time, the elite ant lion, ant lion population and ant population are optimized by multiple alternating projection mechanism, differential evolution mechanism and stochastic optimization, which have the ability of global searching and fast convergence, so that the sidelobe and main lobe width suppression performance of the sparse antenna can be improved maximally under the condition of a small number of iterations.

Description

technical field [0001] The invention belongs to the technical field of radar antennas, and further relates to a sparse antenna pattern synthesis method based on an antlion algorithm in the technical field of radar antennas. The invention can be used to suppress the sidelobe and main lobe width of the pattern amplitude in the sparse array antenna, thereby improving the performance of the antenna pattern. Background technique [0002] Uniform array antenna is common in practical applications because of its simple array structure and convenient mathematical calculation model. However, there are insurmountable defects in the uniform array: when the incident wavelength is small, there will be mutual coupling effect between the array elements, which will seriously affect the characteristics of the antenna array; moreover, the main lobe width of the array antenna pattern amplitude is usually inversely proportional to its aperture, To achieve a narrower main lobe, the number of ant...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00H01Q21/00
CPCG06F30/20G06N3/006H01Q21/0087
Inventor 李文涛张昱东叶秀眺崔灿史小卫
Owner XIDIAN UNIV
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