Soft computing‐based approach for optimal design of on‐chip comparator and folded‐cascode op‐amp using colliding bodies optimization

Int. J. Microw. Wireless Technol.

2020

Abstract This paper presents an efficient approach for the design of a non-uniform single ring circular antenna array (CAA) for the synthesis of the optimal far-field radiation pattern. A recently proposed meta-heuristic-based optimization technique known as ant lion optimization (ALO) is applied in this paper to determine the optimum set of current amplitude excitation weights and the inter-element distance among the array elements to reduce the side lobe level (SLL) and 3-dB beam width considering the mutual coupling effect. The results achieved by employing the ALO algorithm are compared with the uniform radiation pattern and with those of the recently reported literature containing equal sets of elements to prove the superiority of ALO algorithm. Three different design examples of 8, 10, and 12 elements CAA are presented, and their performances are compared to illustrate the capability of the ALO algorithm-based approach over those of the recently reported literature.

Section: Resultsmentioning

confidence: 99%

An optimal circular antenna array design considering the mutual coupling employing ant lion optimization

Int. J. Microw. Wireless Technol.

2020

“…Box and whisker plots [25] are also portrayed here to compare the statistical performance of the GWO and MFO algorithm based results for the 10 elements and 16 elements DDE design of monopole antennas. The GWO and MFO algorithms are employed here, which are executed 50 times to obtain the best results.…”

Section: Accuracy Test Of Gwo and Mfomentioning

confidence: 99%

Optimal radiation pattern synthesis of mutually coupled antenna array using an efficient compensation method

IET Microwaves Antenna & Prop

2021

An efficient compensation method is proposed for the reduction of mutual coupling among the elements of an antenna array using the optimum current amplitude excitation weights. The performance of an antenna array degrades heavily due to mutual coupling. The mutual coupling effect can neither be eliminated nor be ignored in the context of the antenna array design. Several analytical and numerical techniques have been proposed in the past few decades for the calculation and compensation of mutual coupling effect. Here, the mutual coupling is compensated by reducing the driving impedance of each identical array element in the array by adopting grey wolf optimization and moth flame optimization algorithms, respectively. The sum of the driving impedances of each element of the antenna array is reduced efficiently by adjusting the feed current amplitudes of all the individual array elements. Compared to the existing known methods, the proposed method is less complex, cost-effective and easy to implement for commercial and industrial applications to achieve better performance.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

“…The PSOd and GWO algorithms have been executed for 50 trial runs to achieve the best results and the resulting CF values attained in each run have been used for box and whisker plots. 35 Figure 11 shows the box and whisker plots obtained by employing PSOd for the 8, 10, and 12 elements CAA design considering the mutual coupling effect. Outliners are data with values beyond the end of the whisker achieved by employing PSOd algorithm.…”

Section: Box and Whisker Plotsmentioning

confidence: 99%

An optimal circular antenna array design considering mutual coupling using heuristic approaches

Int J RF Microw Comput Aided Eng

2020

This article shows the design of a non-uniformly excited single ring circular antenna array (CAA) for the synthesis of optimal far-field radiation characteristics. A recently proposed meta-heuristic based optimization algorithm called gray wolf optimization (GWO) and state-of-the-art swarm intelligence based evolutionary optimization technique known as particle swarm optimization with a distribution based update mechanism (PSOd) are individually applied to determine the optimum set of current excitation amplitude weights and the inter-element spacing among the array elements to reduce the side lobe level and 3-dB beamwidth considering the mutual coupling. The results obtained by employing PSOd and GWO are compared to those of the uniform radiation pattern and the recently published results of state-of-the-art literature having equal sets of elements to show the superiority of employed approaches. Three different design examples of 8, 10, and 12 elements CAA are reported in this article to study the performances of PSOd and GWO algorithm-based results over the results of other recently reported literature.