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Sequential Nonlinear Programming Optimization for Circular Polarization in Jute Substrate-Based Monopole Antenna

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International Conference on Intelligent and Smart Computing in Data Analytics

Abstract

This paper presents the design optimization of a tri-band textile antenna, which is realized on jute material as the proper flexible substrate. First of all, the design process of the textile antenna is taken as a multi-dimensional problem with a primary objective of resonating with a return loss of greater than −25 dB in all operating frequencies. This design problem is converted as an optimization problem, where the sequential nonlinear programming (SNLP) algorithm of ANSYS HFSS is successfully used to optimize the geometric parameters of the textile antenna. Secondary, for validation of the optimized parameters, the tri-band antenna is fabricated on the jute material. Furthermore, the prototype antenna measurements are taken in the anechoic chamber and are compared with the simulation. Thus, based on the comparative study between the simulation and measurement, it is evident that the antenna was successfully operating in the tri-bands of Wi-MAX, WLAN, and ISM, with a return loss of more than −25. The SNLP algorithm works effectively to achieve the desired optimization.

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Correspondence to D. Ram Sandeep .

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Ram Sandeep, D. et al. (2021). Sequential Nonlinear Programming Optimization for Circular Polarization in Jute Substrate-Based Monopole Antenna. In: Bhattacharyya, S., Nayak, J., Prakash, K.B., Naik, B., Abraham, A. (eds) International Conference on Intelligent and Smart Computing in Data Analytics. Advances in Intelligent Systems and Computing, vol 1312. Springer, Singapore. https://doi.org/10.1007/978-981-33-6176-8_24

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