Design and synthesis of circular antenna array using artificial hummingbird optimization algorithm

Singh, Harbinder; Singh, Simrandeep; Gupta, Amit; Gehlot, Anita; Kaur, Jaskirat

doi:10.1007/s10825-022-01921-w

Cited by 8 publications

(2 citation statements)

References 34 publications

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“…The configuration of the CAA is depicted in Figure 1. It comprises N E isotropic antenna elements that are systematically distributed with uniform angular spacing (d) along a circular arrangement [15]. In the x-y plane, the circle with a radius of r is taken into consideration.…”

Section: Circular Antenna Arraymentioning

confidence: 99%

“…In this work, STNMRA is utilized to design CAA. STNMRA has solved the major problems of both STOA and NMRA, including premature stagnation because of poor exploitation in STOA and poor exploration in NMRA [15]. Hybridizing the algorithms forces the individual algorithms to work in tandem to deliver consistent solutions and provide a better chance of balanced exploration and exploitation.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis of Circular Antenna Arrays for Achieving Lower Side Lobe Level and Higher Directivity Using Hybrid Optimization Algorithm

Mittal,

Sharma,

Thangarasu

et al. 2024

Algorithms

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Circular antenna arrays (CAAs) find extensive utility in a range of cutting-edge communication applications such as 5G networks, the Internet of Things (IoT), and advanced beamforming technologies. In the realm of antenna design, the side lobes levels (SLL) in the radiation pattern hold significant importance within communication systems. This is primarily due to its role in mitigating signal interference across the entire radiation pattern’s side lobes. In order to suppress the subsidiary lobe, achieve the required primary lobe orientation, and improve directivity, an optimization problem is used in this work. This paper introduces a method aimed at enhancing the radiation pattern of CAA by minimizing its SLL using a Hybrid Sooty Tern Naked Mole-Rat Algorithm (STNMRA). The simulation results show that the hybrid optimization method significantly reduces side lobes while maintaining reasonable directivity compared to the uniform array and other competitive metaheuristics.

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Section: Circular Antenna Arraymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%