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April 26, 2026Microwave and Optical Technology Letters0 citations

Pattern Synthesis of Nonuniform Circular Antenna Array Based on Subarray Division

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HGHua GuoYXYang XiaoCRChenxin Ren

Key Points

  • The study aims to develop a synthesis method for circular antenna arrays that reduces complexity and enhances performance.
  • Utilized sparse array technology and continuous subarray division to optimize element positions and excitation coefficients.
  • Maximized design efficiency by constraining array size and spacing through mathematical derivation.
  • Implemented different fitness functions to improve sidelobe levels and beamforming in monopulse arrays.
  • Achieved a peak sidelobe level (PSLL) of less than -38.87 dB for an 80-element array divided into 16 subarrays.
  • The PSLL for the sum and difference patterns of the 16-element non-uniform monopulse array is below -28 dB.
  • Demonstrated lower PSLL compared to alternative optimization methods using an improved mathematical model.

Abstract

ABSTRACT A synthesis method of circular antenna array is proposed. The technologies of sparse array and continuous subarray division are used to reduce the element number and the design complexity of the feeding network. The array element positions, subarray excitation coefficients and element numbers of each subarray are optimized. Through strict formula derivation, the proposed method can constrain the array aperture size, element number of the antenna array, the minimum spacing of the adjacent elements and the element number of each subarray simultaneously. Also, different fitness functions are introduced to fulfill the low sidelobe pattern synthesis, beamforming and the synthesis of monopulse array antenna. When the element number is 80 and the entire array antenna is divided into 16 subarrays, the peak sidelobe level (PSLL) of the radiation pattern is less than −38.87 dB. The PSLL of the sum and difference radiation pattern of a 16‐element non‐uniform circular monopulse array antenna is less than −28 dB. Compared with other optimization methods, the proposed mathematical model optimized by IWO can obtain lower PSLL under the same number of arrays.

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Cite This Study

Guo et al. (2026) studied this question.

synapsesocial.com/papers/69edacbd4a46254e215b4783https://doi.org/10.1002/mop.70612
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