Side Lobe Suppression of Concentric Circular Antenna Array Using Social Spider Algorithm

Das, Avishek; Mandal, Durbadal; Kar, Rajib

doi:10.1080/03772063.2020.1788423

Cited by 14 publications

(9 citation statements)

References 19 publications

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“…Table 8 shows the results of the statistical tests 27 achieved by using independent samples to compare whether the GWO algorithm‐based results differ significantly as compared with the PSO, DE and SSA algorithm‐based results for the design of 16‐element DDE array of monopole antennas. Here, a two‐sample t test 22 is conducted between GWO/PSO, GWO/DE and GWO/SSA algorithms to prove the difference between two algorithms based on statistical analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Box and whisker plots 22 are employed here to compare the performance of PSO, DE and SSA based results with the GWO algorithm‐based results statistically for the synthesis of 16 elements DDE array of monopole antenna by using PAT for Case‐I, Case‐II and Case‐III, respectively. All the algorithms (PSO, DE, SSA and GWO) employed in this study are executed 50 times to obtain the best results and all the CF values achieved in each execution are employed in box and whisker plots.…”

Section: Resultsmentioning

confidence: 99%

“…Here

W_{1}

W_{2}

and

W_{3}

represent the weighting factors; The values of the weighting factors are selected as 18, 18 and 12, respectively, similar to 22 .

θ_{0}

is the peak angle of

θ

in the main beam;

θ_{italicms 1}

and

θ_{italicms 2}

represent the angles of the maximum sidelobe below and above the peak angle of the main beam, respectively.…”

Section: Design Equationmentioning

confidence: 99%

“…In this way, the spiders on the same web share their personal experiences with others to form a collective social knowledge. This behaviour of spiders is mathematically modelled in the SSA algorithm and is discussed in detail in References 19,22.…”

Section: Evolutionary Technique Employedmentioning

confidence: 99%

“…[13][14][15][16][17][18][19] According to the no free lunch (NFL) theorem, 20,21 none of the evolutionary optimisation techniques performs the best for solving all the optimisation problems. Hence, four well established different evolutionary optimisation techniques, namely particle swarm optimisation (PSO), [13][14][15] differential evolution (DE), 16,17 social spider algorithm (SSA) 19,22 and grey wolf optimisation (GWO) 18,19 are individually employed in this study for FFRP synthesis of 16-elements DDE array of monopole antennas and three-ring CCAA of dipole elements and the results are compared. The results achieved by employing PSO, DE, SSA and GWO algorithms are also compared statistically for accuracy.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An optimal far field radiation pattern synthesis of mutually coupled antenna arrays

Das

Mandal

Kar

2022

Int J RF Mic Comp-Aid Eng

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…Here

W_{1}

W_{2}

and

W_{3}

represent the weighting factors; The values of the weighting factors are selected as 18, 18 and 12, respectively, similar to 22 .

θ_{0}

is the peak angle of

θ

in the main beam;

θ_{italicms 1}

and

θ_{italicms 2}

represent the angles of the maximum sidelobe below and above the peak angle of the main beam, respectively.…”

Section: Design Equationmentioning

confidence: 99%

Section: Evolutionary Technique Employedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An optimal far field radiation pattern synthesis of mutually coupled antenna arrays

Das

Mandal

Kar

2022

Int J RF Mic Comp-Aid Eng

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An optimal linear and elliptical antenna array design using black widow optimisation for 5G communication

Saha,

Das,

Mandal

et al. 2023

Int J Communication

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SummaryThis research illustrates a precise linear and elliptical antenna array design for synthesising the optimal far‐field radiation pattern in the fifth‐generation (5G) communication spectrum using a meta‐heuristic optimisation technique known as black widow optimisation (BWO). 5G communication is an emerging technology with revolutionary changes in the wireless communication system with ultra‐high data rate, enhanced capacity, low latency and good quality of service. An accurate antenna array design for an ideal far‐field radiation pattern synthesis with a suppressed side lobe level (SLL) value and half power beam width (HPBW) is the most crucial aspect of 5G communications. A suppressed SLL is necessary to reduce interference in the entire side lobe region, whereas a low HPBW is required for long‐distance communication. Here, the BWO is employed to find the optimal feeding current to each array element to lower the SLL and the HPBW value. The BWO algorithm sustains impeccable equity between the exploration and exploitation stages to impact different potential regions of the search space and generate new solutions to attain the global optima by evading the trap of local optima. The design examples of the linear antenna array (LAA) and elliptical antenna array (EAA) are illustrated in this article by applying the optimal feeding currents to each array element. Compared to the uniform antenna array and methodologies described in the recently published literature, the results obtained utilising the BWO algorithm for designing the LAAs and EAAs demonstrate a substantial development in the reduction of SLL and HPBW.

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Synthesis of concentric circular antenna array for reducing the sidelobe level by employing sine cosine optimization algorithm

Thadikamalla,

Amara

2024

Int J Numerical Modelling

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The sine cosine algorithm (SCA), a meta‐heuristic optimization method, is used in this study to provide a precise linear and elliptical antenna array design for synthesizing the ideal far‐field radiation pattern in the fifth‐generation (5G) communication spectrum. The wireless communication system will undergo dramatic changes thanks to the forthcoming 5G technology, which offers exceptionally high data rates, increased capacity, reduced latency, and outstanding service quality. The most important component of 5G communications is an accurate antenna array design for an optimum far‐field radiation pattern synthesis with a suppressed sidelobe level (SLL) value and half power beam width (HPBW). While long‐distance communication necessitates a low HPBW, the entire side lobe area needs a suppressed SLL to prevent interference. The SCA is used in this case to the optimal feeding currents applied to each array member in the design examples of the concentric circular antenna arrays (CCAA) discussed in this article. It shows the litheness and attainment of the propound algorithm named SCA, chosen CCAAs with three rings and varying amounts of components or antenna array sets those are stated as follows: Set I (4, 6, 8 elements), Set II (8, 10, 12 elements), Set III (6, 12, 18 elements), Set IV (8, 14, 20 elements) with and without the center element are amalgamate. Apply the PSO, Jaya, and SCA optimization algorithms for all four Sets of antenna arrays and compare the attained results; the SLL values achieved by the SCA technique are contrasted with those of other current optimization techniques. The outcomes of all examinations reveal that the SCA algorithm achieved a superior SLL reduction over other optimization techniques.

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Side Lobe Suppression of Concentric Circular Antenna Array Using Social Spider Algorithm

Cited by 14 publications

References 19 publications

An optimal far field radiation pattern synthesis of mutually coupled antenna arrays

An optimal far field radiation pattern synthesis of mutually coupled antenna arrays

An optimal linear and elliptical antenna array design using black widow optimisation for 5G communication

Synthesis of concentric circular antenna array for reducing the sidelobe level by employing sine cosine optimization algorithm

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