Hybrid Antenna Array with the Bowtie Elements for Super-Resolution and 3D Scanning Radars
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Hybrid Antenna Array with the Bowtie Elements for Super-Resolution and 3D Scanning Radars

Authors: Somayeh Komeylian

Abstract:

The antenna arrays for the entire 3D spherical coverage have been developed for their potential use in variety of applications such as radars and body-worn devices of the body area networks. In this study, we have rigorously revamped the hybrid antenna array using the optimum geometry of bowtie elements for achieving a significant improvement in the angular discrimination capability as well as in separating two adjacent targets. In this scenario, we have analogously investigated the effectiveness of increasing the virtual array length in fostering and enhancing the directivity and angular resolution in the 10 GHz frequency. The simulation results have extensively verified that the proposed antenna array represents a drastic enhancement in terms of size, directivity, side lobe level (SLL) and, especially resolution compared with the other available geometries. We have also verified that the maximum directivities of the proposed hybrid antenna array represent the robustness to the all  variations, which is accompanied by the uniform 3D scanning characteristic.

Keywords: Bowtie antenna, hybrid antenna array, array signal processing, body area networks.

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[1] R. A. Sadeghzadeh, A. A. Lotfi Neyestanak, M. Naser-Moghadasi, and M. Ghiamy, “A Comparison of Various Hybrid Elliptical Antenna Arrays”, Iranian Journal of Electrical and Computer Engineering, Vol. 7, No. 2, Summer-Fall 2008.
[2] Mohammad Ghavami, “A Spatially Processed 3D Wideband Adaptive Conical Array System,” 2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB), 2017.
[3] Najam-Us Saqib, Imdad Khan, “A Hybrid Antenna Array Design for 3-D Direction of Arrival Estimation,” PLoS ONE 10(3): e0118914. doi:10.1371/journal, March 19, 2015.
[4] Nasim Ebrahimi, Abbas Pirhadi, Majid Karimipour, “Optimum design of shaped beam cylindrical array antenna with electronically scan radiation pattern,” Advanced Computational Techniques in Electromagnetics 2013 (2013) 1-11, 2013.
[5] Elias Yaacoub, Mohammed Al-Husseini, Ali Chehab, Karim Y. Kabalan, Ali El-Hajj “Pattern Synthesis with Cylindrical Arrays,” ResearchGate, 2006.
[6] Bindong Gao, Fangzheng Zhang, Ermao Zhao, Daocheng Zhang, And Shilong Pan, “High-Resolution Phased Array Radar Imaging by Photonics-Based Broadband Digital Beamforming,” 27, No. 9 | 29 Apr 2019 | Optics Express 13194.
[7] Sangwook Kim, Swathi Kavuri, and Minho Lee, “Deep Network with Support Vector Machines,” M. Lee et al. (Eds.): ICONIP 2013, Part I, LNCS 8226, pp. 458–465, Springer-Verlag Berlin Heidelberg, 2013.
[8] Gonzalo Acuña and Millaray Curilem, “Comparison of Neural Networks and Support Vector Machine Dynamic Models for State Estimation in Semiautogenous Mills,” A. Hernández Aguirre et al. (Eds.): MICAI 2009, LNAI 5845, pp. 478–487, Springer-Verlag Berlin Heidelberg 2009.
[9] Yue Wu, Hui Wang, Biaobiao Zhang, and K.-L. Du, “Using Radial Basis Function Networks for Function Approximation and Classification,” International Scholarly Research Network, ISRN Applied Mathematics, Volume 2012, Article ID 324194, 34 pages, doi:10.5402/2012/324194.
[10] JAK Suykens, J De Brabanter, L Lukas, J Vandewalle, “Neurocomputing, Weighted least squares support vector machines: robustness and sparse approximation,” Elsevier, 2002.
[11] A. W. Jayawardena, D. A. K. Fernando & M. C. Zhou, “Comparison of Multilayer Perceptron and Radial Basis Function networks as tools for flood forecasting,” Destructive Water: Water-Caused Natural Disasters, their Abatement and Control (Proceedings of the Conference held at Anaheim, California, June 1996). IAHS Publ. no. 239, 1997.
[12] Judd A. Rohwer and Chaouki T. Abdallah, “One-vs-One Multiclass Least Squares Support Vector Machines for Direction of Arrival Estimation”, Aces Journal, Vol. 18, No. 2, July 2003.
[13] Marija Agatonović, Zoran Stanković, Bratislav Milovanović, and Nebojša Dončov, “DOA Estimation using Radial Basis Function Neural Networks as Uniform Circular Antenna Array Signal Processor,” International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS), 2011.
[14] Yu.B. Nechaev, I.W. Peshkov, N.A. Fortunova, “Cylindrical antenna array development and measurments for DOA-estimation applications,” 2017 XI International Conference on Antenna Theory and Techniques (ICATT), 2017.
[15] Monther Abusultan, Sam Harkness, Brock J. LaMeres, and Yikun Huang, “FPGA implementation of a Bartlett direction of arrival algorithm for a 5.8ghz circular antenna array,” 2010 IEEE Aerospace Conference.
[16] Abdallah, Chaouki T., Judd A. Rohwer, and Christos G. Christodoulou., "Least squares support vector machines for direction of arrival estimation with error control and validation," IEEE Global Telecommunications Conference (2003): 2172-2176. doi:10.1109/GLOCOM.2003.
[17] Yugo M. KUNO, Bruno MASIERO, and Nilesh MADHU, “A neural network approach to broadband beamforming,” ICA2019, the 23rd International Congress and Acoustics, 2019.
[18] Lei Wang, “Array Signal Processing Algorithms for Beamforming and Direction Finding,” Ph.D. thesis of University of York, 2009.
[19] Zhang-Meng Liu, Chenwei Zhang and Philip S. Yu, “Direction-of-Arrival Estimation based on Deep Neural Networks with Robustness to Array Imperfections,” IEEE Transactions on Antennas and Propagation, 2018.
[20] Somayeh Komeylian, “Implementation and Evaluation of LS-SVM Optimization Methods for Estimating DoAs,” IEEE CCECE 2020.
[21] Xingyu Zhang, Chi-Jui Chung, Shiyi Wang, Harish Subbaraman, Zeyu Pan, Qiwen Zhan, and Ray T. Chen, “Integrated Broadband Bowtie Antenna on Transparent Silica Substrate,” IEEE Antennas and Wireless Propagation Letters, Vol. 15, 2016.
[22] R. C.Comptonet al., “Bow-tie antennas on a dielectric half-space: Theory and experiment,” IEEE Trans. Antennas Propag., vol. AP-35, no. 6, pp. 622–631, Jun. 1987.
[23] S. Kim et al., “High-harmonic generation by resonant plasmon field enhancement,” Nature, Vol. 453, pp. 757–760, 2008.
[24] K. D. Ko et al., “Nonlinear optical response from arrays of Au bowtie nanoantennas,” Nano Lett., vol. 11, pp. 61–65, 2010.
[25] B. Madhav et al., “Liquid crystal bow-tie microstrip antenna for wireless communication applications,” J. Eng. Sci. Technol. Rev., vol.4, pp.131–134, 2011.
[26] Z. Pan and J. Guo, “Enhanced optical absorption and electric field resonance in diabolo metal bar optical antennas,” Opt. Exp., vol.21, pp.32491–32500, 2013.
[27] M. Rahim, M. Abdul Aziz, and C. Goh, “Bow-tie microstrip antenna design,” in Proc. 13th IEEE Int. Conf. Netw., 2005.
[28] M. Roslee, K. S. Subari, and I. S. Shahdan, “Design of bow tie antenna in CST studio suite below 2 GHz for ground penetrating radar applications,” Proc. IEEE RFM, pp. 430–433, 2011.
[29] S. Sederberg and A. Elezzabi, “Nanoscale plasmonic contour bowtie antenna operating in the mid-infrared,” Opt. Exp., vol. 19, pp. 15532–15537, 2011.
[30] C. A. Balanis, Antenna theory: Analysis and design. Hoboken, NJ, USA: Wiley, 2012.
[31] F. I. Rial, H. Lorenzo, M. Pereira, and J. Armesto, “Analysis of the emitted wavelet of high-resolution bowtie GPR Antennas,” Sensors, vol. 9, pp. 4230–4246, 2009.
[32] Adedayo Omisakin, “Metamaterial AMC backed Antenna for Body-worn Application at 2.4GHz,” Thesis for the Master of Science in Eindhoven University of Technology, 2017.
[33] G. Naldi, M. Bartolini, A. Mattana, G. Pupillo, J. Hickish, G. Foster, G. Bianchi, A. Lingua, J. Monari, S. Montebugnoli, F. Perini, S. Rusticelli, M. Schiaffino, G. Virone, and K. Zarb Adami, “Developments of FPGA-based digital back-ends for low frequency antenna arrays at Medicina radio telescopes,” Mem. S.A. It.Vol.88, 206 SA It, 2017.
[34] Vinayak Nagpal, “An FPGA Based Phased Array Processor for the Sub-Millimeter Array,” Chalmers University of Technology, Gothenburg, Sweden Harvard Smithsonian Center for Astrophysics, Cambridge, MA, September 2005.
[35] Miroslav Joler, “How FPGAs Can Help Create Self-Recoverable Antenna Arrays,” International Journal of Antennas and Propagation, 2012.
[36] Ahmed A. Hussain, Nizar Tayem, Saleh A. Alshebeili, “FPGA Hardware Implementation of DOA Estimation Algorithm Employing LU Decomposition,” Published in IEEE Access 2018.
[37] Monther Abusultan, Sam Harkness, Brock J. La Meres, and Yikun Huang, “FPGA implementation of a Bartlett direction of arrival algorithm for a 5.8GHz circular antenna array,” IEEE Aerospace Conference Proceedings, April 2010.