×

Optimization of selected operation characteristics of array antennas. (English) Zbl 1476.78008

Summary: Method of optimizing the distance between individual elements in the antenna array is presented. Based on the verification of the analytical model for one defined rectangular patch antenna and subsequently for the antenna array, the sweep analysis was performed for variant voltage and phase values on each element of the array. The results were used as the input parameters for creating a surrogate model using a neural network for implementation in a micro-controller and use for voltage control in the array. The methodology is illustrated with a typical example.

MSC:

78A50 Antennas, waveguides in optics and electromagnetic theory
78A40 Waves and radiation in optics and electromagnetic theory
94A12 Signal theory (characterization, reconstruction, filtering, etc.)
78M50 Optimization problems in optics and electromagnetic theory
35R02 PDEs on graphs and networks (ramified or polygonal spaces)

Software:

TensorFlow; Keras; GitHub; ALO
PDF BibTeX XML Cite
Full Text: DOI

References:

[1] Wei, X., 5G Mobile Communications (2016)
[2] Losito, O.; Portosi, V.; Venanzoni, G.; Bigelli, F.; Mencarelli, D.; Scalmati, P.; Renghini, C.; Carta, P.; Prudenzano, F., Feasibility investigation of SIW cavity-backed patch antenna array for Ku band applications, Appl. Sci., 9, 1271 (2019)
[3] Ismail, T.; Hamici, Z. M., Array pattern synthesis using digital phase control by quantized particle swarm optimization, IEEE Trans. Antennas Propag., 58, 6, 2142-2145 (2010)
[4] Keizer, W. P.M. N., Low sidelobe phased array pattern synthesis with compensation for errors due to quantized tapering, IEEE Trans. Antennas Propag., 59, 12, 4520-4524 (2011)
[5] Y. Wang, C. Wang, W. Gao, Q. Xu, S. Yuan, H. Li, K. Ying, Compensation method for distorted active phased array antennas in condition of quantization errors based on structural-electromagnetic coupling,in: 12th European Conf. Antennas and Propagation (EuCAP 2018), 2018, pp. 1-5.
[6] Mirjalili, S., The ant lion optimizer, Adv. Eng. Softw., 83, 80-98 (2015)
[7] Saxena, P.; Kothari, A., Ant lion optimization algorithm to control side lobe level and null depths in linear antenna arrays, AEU-Int. J. Electron. Commun. (2016)
[8] Subhashini, K. R.; Satapathy, K. J., Development of an enhanced ant lion optimization algorithm and its application in antenna array synthesis, Appl. Soft Comput., 59, 153-173 (2017)
[9] Singh, U.; Salgotra, R., Optimal synthesis of linear antenna arrays using modified spider monkey optimization, Arab. J. Sci. Eng., 41, 2957-2973 (2016)
[10] Al Azza, A. A.; Ammar, A. A.-J.; Harackiewicz, F. J., Spider monkey optimization: A novel technique for antenna optimization, IEEE Antennas Wirel. Propag. Lett., 15, 1016-1019 (2016)
[11] Ram, G.; Mandal, D.; Kar, R.; Ghoshal, S. P., Cat swarm optimization as applied to time-modulated concentric circular antenna array: Analysis and comparison with other stochastic optimization methods, IEEE Trans. Antennas Propag., 63, 9, 4180-4183 (2015)
[12] Ram, G.; Mandal, D.; Kar, R.; Ghoshal, S. P., Circular and concentric circular antenna array synthesis using cat swarm optimization, IETE Tech. Rev., 32, 204-2017 (2015)
[13] Pappula, L.; Ghosh, D., Linear antenna array synthesis using cat swarm optimization, AEU-Int. J. Electron. Commun. (2014)
[14] Singh, U.; Salgotra, R., Synthesis of linear antenna array using flower pollination algorithm, Neural Comput. Appl., 29, 435-445 (2016)
[15] Saxena, P.; Kothari, A., Linear antenna array optimization using flower pollination algorithm, SpringerPlus, 306 (2012)
[16] Dib, N.; Goudos, S. K.; Muhsen, H., Application of Taguchi’s optimization method and self-adaptive differential evolution to the synthesis of linear antenna arrays, Prog. Electromagn. Res., 102, 159-180 (2010)
[17] Saxena, P.; Kothari, A., Optimal pattern synthesis of linear antenna array using grey wolf optimization algorithm, Int. J. Antennas Propag., 2016, 12, 11 (2016)
[18] Weng, W.-C.; Yang, F.; Elsherben, A. Z., Linear antenna array synthesis using Taguchi’s method: A novel optimization technique in electromagnetics, IEEE Trans. Antennas Propag., 55, 3, 723-730 (2007)
[19] Balanis, C. A., Antenna Theory - Analysis and Design (2016), John Wiley & Sons, Inc.: John Wiley & Sons, Inc. Hoboken, New Jersey
[20] Pal, S.; Qu, B.-Y.; Das, S.; Suganthan, P. N., Optimal synthesis of linear antenna arrays with multi-objective differential evolution, Prog. Electromagn. Res. B, 21, 87-2011 (2010)
[21] Karban, P.; Panek, D.; Orosz, T.; Petrasova, I.; Dolezel, I., FEM Based robust design optimization with Agros and Artap, Comput. Math. Appl. (2020), URL: http://www.sciencedirect.com/science/article/pii/S0898122120300778 · Zbl 07288734
[22] Abadi, M.; Agarwal, A.; Barham, P.; Brevdo, E.; Chen, Z.; Citro, C.; Corrado, G. S.; Davis, A.; Dean, J.; Devin, M.; Ghemawat, S.; Goodfellow, I.; Harp, A.; Irving, G.; Isard, M.; Jia, Y.; Jozefowicz, R.; Kaiser, L.; Kudlur, M.; Levenberg, J.; Mané, D.; Monga, R.; Moore, S.; Murray, D.; Olah, C.; Schuster, M.; Shlens, J.; Steiner, B.; Sutskever, I.; Talwar, K.; Tucker, P.; Vanhoucke, V.; Vasudevan, V.; Viégas, F.; Vinyals, O.; Warden, P.; Wattenberg, M.; Wicke, M.; Yu, Y.; Zheng, X., Tensorflow: Large-scale machine learning on heterogeneous systems (2015), URL: https://www.tensorflow.org/, Software available from tensorflow.org
[23] Abadi, M.; Agarwal, A.; Barham, P.; Brevdo, E.; Chen, Z.; Citro, C.; Corrado, G. S.; Davis, A.; Dean, J.; Devin, M.; Ghemawat, S.; Goodfellow, I.; Harp, A.; Irving, G.; Isard, M.; Jia, Y.; Jozefowicz, R.; Kaiser, L.; Kudlur, M.; Levenberg, J.; Mané, D.; Monga, R.; Moore, S.; Murray, D.; Olah, C.; Schuster, M.; Shlens, J.; Steiner, B.; Sutskever, I.; Talwar, K.; Tucker, P.; Vanhoucke, V.; Vasudevan, V.; Viégas, F.; Vinyals, O.; Warden, P.; Wattenberg, M.; Wicke, M.; Yu, Y.; Zheng, X., Tensorflow lite: Open source deep learning framework for on-device inference (2015), URL: https://www.tensorflow.org/lite/, Software available from www.tensorflow.org/lite
[24] Diderik, P. K.; Ba, J., Adam: A method for stochastic optimization, Comput. Sci. (2017), https://arxiv.org/pdf/1412.6980.pdf
[25] Bock, S.; Goppold, J.; Weiß, M., An improvement of the convergence proof of the ADAM-optimizer, Comput. Sci. (2018), https://arxiv.org/pdf/1804.10587.pdf
[26] O’Malley, T.; Bursztein, E.; Long, J.; Chollet, F.; Jin, H.; Invernizzi, L., Keras tuner (2019), https://github.com/keras-team/keras-tuner
[27] Company, S., Stm32 nucleo-144 boards data brief (2020), STMicroelectronics
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.