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Hybrid adaptive beamforming approach for antenna array fed parabolic reflector for C-band applications

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents the design of a parabolic reflector fed through a patch antenna array feed to enhance its directivity and radiation properties. Adaptive beam for‐ mers steer and alter an array’s beam pattern to increase signal reception and minimize interference. Weight selec‐ tion is a critical difficulty in achieving low SLL and beam width. Low Side Lobe Level [SLL]and narrow beam reduce antenna radiation and reception. Adjusting the weights reduces SLL and tilts the nulls. Adaptive beam formers are successful signal processors if their array output con‐ verges to the required signal. Smart antenna weights can be determined using any window function. Half Power Beam Width and SLL could be used to explore different algorithms. Both must be low for excellent smart antenna performance. In noisy settings, ACLMS and CLMS create narrow beams and side lobes. AANGD offers more control than CLMS and ACLMS. The blend of CLMS and ACLMS is more effective at signal convergence than CLMS and AANGD. It presents an alternative to the conventionally used horn‐based feed network for C‐band applications such as satellite communication. Broadside radiation patterns and 4x4 circular patch antenna arrays are used in the proposed design. 1400 aperture illumination is pro‐ vided by the array’s feed parabolic reflector, whose F/D ratio is 0.36. The proposed design’s efficacy is assessed using simulation analysis.
Twórcy
  • Medicaps University, India
  • Electronics Engineering Dept. Medi-Caps University, India
Bibliografia
  • [1] F. B. Gross, Smart Antennas for Wireless Communications with Matlab. New York: McGraw‐Hill, 2005.
  • [2] J. Li and P. Stoica, Robust Adaptive Beamforming. New Jersey: John Wiley & Sons, Inc., 2006.
  • [3] Robert S. Elliott, Antenna Theory and Design, Wiley‐Inter Science, 2005.
  • [4] Veerendra, Md Bakhar, Vani R.M. Smart antennas for next generation cellular mobile communications. imanager’s Journal on Digital Signal Processing 2016; 4(3): 6–11.
  • [5] Amara Prakasa Rao, N.V.S.N. Sarma. Performance Analysis of Kernel Based Adaptive Beamforming for Smart Antenna Systems. Proc. of the IEEE Int. Conference on Microwave and RF 2014, pp. 262–265.
  • [6] L. Thao, D. Loc, N. Tuyen. “Study comparative of Parabolic array antenna and phased array antenna”, VNU Journal of Science, vol. 30, no. 3, pp. 31–36, 2014.
  • [7] M. Yasin, Pervez. Akhtar, Performance Analysis of LMS and NLMS Algorithms for a Smart Antenna System, International Journal of Computer Applications, Vol. 4, No. 9, 2010, pp. 25–32.
  • [8] D. K. Panda, “DRLMS Adaptive Beamforming Algorithm for Smart Antenna System”, International Journal of Applied Engineering Research, vol. 13, no. 8, pp. 5585–5588, 2018.
  • [9] D.M. Motiur Rahaman, Md. Moswer Hossain, Md. Masud Rana. “Least Mean Square (LMS) for Smart Antenna”, Universal Journal of Communications and Network, pp. 16–21, 2013.
  • [10] T. N. Ferreira, S. L. Netto, and P. S. R. Diniz. “Direction‐of‐arrival estimation using a direct data approach,” IEEE Trans. Aerosp. Electron. Syst., vol. 47, no. 1, pp. 728–733, Jan. 2011.
  • [11] D. P. Mandic, Yili Xia and Ali H Syad. “An Adaptive Diffusion Augmented CLMS algorithm for Distributed Filtering of Non‐Circular Complex Signals”, IEEE Signal Processing Letters, Vol. 18 No. 11, 2011.
  • [12] M. Lertsutthiwong, T. Nguyen, and B. Hamdaoui. “Efficient wireless broadcasting through joint network coding and beamforming,” Int. J. Digit. Multimedia Broadcasting, vol. 2012, no. 342512, pp. 1–15, 2012.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bd71ce38-933f-48ef-8e8c-1583925288ae
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