Abstract
To lower the peak sidelobe level (PSLL) of sparse concentric ring arrays, a method with multiple design constraints that embed a function model into modified real genetic algorithm (MGA) and select the grid ring radii as optimization individual to synthesize sparse concentric ring arrays is proposed. The multiple constraints include the array aperture, the minimum element spacing, and the number of elements. The proposed method dynamically calculates the ratio of element on each ring, and it has a faster convergence rate than other algorithms. The MGA uses real number to code the optimization variable, and it reduces the complexity of coding and improves the search efficiency. Finally, the results demonstrate the accuracy and effectiveness of the algorithm.
Highlights
Antenna array plays an important role in technology, including mobile communication, radar system, satellite, and medical treatment
In [2], a sparse concentric rings array with isoflux coverage to earth surface is designed for low earth orbit (LEO) satellite system, which optimizes the angular separation between the antenna elements and the amplitude excitation across the array to generate the characteristics of the desired isoflux radiation
In [3], a repeater antenna is designed for wireless body area networks (WBAN) applications, which can obtain the biological information by implanting the device to human-body for treatment, diagnosis, and potential medical applications
Summary
Antenna array plays an important role in technology, including mobile communication, radar system, satellite, and medical treatment. In [2], a sparse concentric rings array with isoflux coverage to earth surface is designed for low earth orbit (LEO) satellite system, which optimizes the angular separation between the antenna elements and the amplitude excitation across the array to generate the characteristics of the desired isoflux radiation. In [18], a modified real genetic algorithm (MGA) was proposed to synthesize the sparse concentric ring arrays. Relationship between ring radius and the degree of sparsity is proposed in this paper, which is embedded into the process of MGA to synthesize the sparse concentric ring arrays for low PSLL. Comparing the result to that of other algorithms, the proposed method can reduce PSLL efficiently and has a faster convergence
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