Resonant frequency optimization of coaxially fed rectangular Microstrip Antenna using Cuckoo Search algorithm

Gangopadhyaya, Malay; Das, Abhranila; Chattopadhyay, Soummya Priyo; Dutta, Saumyabrata; Gill, Bob

doi:10.1109/iemcon.2016.7746341

Cited by 3 publications

(3 citation statements)

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“…The quality factor of the antenna, or the figure-of-merit, is representative of antenna loss, and it in general can be written as [9,26]: (19) where the quality factors of various losses can be expressed as : (20) As for the RMPA aperture operating in the dominant TM x 010 mode, the G t /l and K can be calculated by [9].…”

Section: Antenna Gain Of a Rmpamentioning

confidence: 99%

“…Accordingly, PSO and curve fitting have been introduced in [18], and the overall bandwidth of the inverted E-shaped microstrip patch antenna was increased by 15%. Authors in [20][21][22][23] have proposed mathematical models of the RMPA considering the center frequency as well as return loss, and the optimal designs are obtained via the CS, PSO, and DE algorithms. However, none of them involve improving antenna gain, widening antenna bandwidth, and minimization of antenna size.…”

mentioning

confidence: 99%

“…Nevertheless, most of the designs that have been mentioned previously do not consider the minimization of antenna size, which could potentially limit the application of the RF harvester. In [18][19][20][21][22][23], heuristic optimization approaches including the DE and CS algorithms have been utilized to determine the geometrical characteristics of the optimal patch antenna. Conventionally, patch antennas suffer from a narrow bandwidth.…”

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confidence: 99%

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Bio-inspired optimization algorithms applied to rectenna design

Wang

Leach

et al. 2018

Big Data Anal

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A comparative study of the use of bio-inspired optimization technologies including the Cuckoo Search (CS) algorithm, the Differential Evolution (DE) algorithm, and Quantum-behaved Particle Swarm Optimization (QPSO) in the design of microstrip patch antennas for use in RF energy harvesting systems is presented. Radio frequency (RF) energy harvesting is considered as an eco-friendly energy source and has become a focus of intense research especially for use in distributed sensor networks. In a RF energy harvesting system, the antenna is responsible for capturing RF signals over a certain frequency band, and it is a vital element in determining the performance of the RF energy harvester. In this paper, a new mathematical weighted evaluation model involving antenna efficiency, center frequency, and bandwidth is proposed to evaluate the performance of a rectangular microstrip patch antenna (RMPA) for a RF harvesting system based on both the transmission-line model and the cavity model. With the evaluation model as the objective function, bio-inspired optimization approaches are utilized to determine the geometrical parameters of the optimal antenna based on given constraints. Moreover, the optimised designs of an antenna for harvesting energy from the Global System for Mobile Communications (GSM) frequency band are proposed via the mathematical model and bio-inspired optimization approaches using simulations. Furthermore, a comparative study of the DE, CS, and QPSO techniques is conducted via the evaluation of the properties of the antenna designs.

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