Advertisement

Design of Smart Antenna Using Normalized Leaky LMS and Sign Leaky LMS Algorithms—A Comparative Study

  • Ritika Sharma
  • Anupama Senapati
  • Jibendu Sekhar RoyEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 41)

Abstract

The main component used in the present day cellular network is an adaptive smart antenna, which with the help of a cell site transmit signal in a specific direction reduces undesired interference. In this paper, a sign leaky least mean square (SLLMS) algorithm and normalized leaky least mean square (NLLMS) algorithm is introduced for beam forming in smart antenna. A comparative study is done based on ability to generate main beam towards desire user, to generate null toward interferer, maximum side lobe level (SLLmax) and convergence by varying the signal-to-noise ratio (SNR).

Keywords

Smart antenna Beam forming Least mean square algorithm Side love level 

References

  1. 1.
    Herscovici, N., Chirstodoulou, C., Chryssomallis, M.: Smart antennas. IEEE Antennas Propag. Mag. 42(3), 129–136 (2000)CrossRefGoogle Scholar
  2. 2.
    Gross, F.: Smart Antenna for Wireless Communication. McGraw-Hill (2005)Google Scholar
  3. 3.
    Godara, L.C.: Application of antenna arrays to mobile communications. Part II: Beam-forming and direction-of-arrival considerations. Proc. IEEE 85(8), 1195–1245 (1997)CrossRefGoogle Scholar
  4. 4.
    Rao, A.P., Sarma, N.V.S.N.: Adaptive beamforming algorithms for smart antenna systems. WSEAS Trans. Commun. 13, 44–50 (2014)Google Scholar
  5. 5.
    Basha, T.S.G., Sridevi, P.V., GiriPrasad, M.N.: Beam forming in smart antenna with precise direction of arrival estimation using MUSIC algorithm. Wirel. Pers. Commun. 71(2), 1353–1364 (2013)CrossRefGoogle Scholar
  6. 6.
    Tao, J.W., Chang, W.X.: Adaptive beamforming based on complex quaternion processes. Math. Probl. Eng. Hindawi 2014, 1–10 (2014)Google Scholar
  7. 7.
    Sarkar, T.K., Wicks, M.C., Palma, S., Bonneau, R.J.,: Smart Antennas. Wiley-IEEE Press (2003)Google Scholar
  8. 8.
    Wang, H., Zhang, Z., Li, Y., Feng, Z.: Improved main-beam nulling through single switchable displaced element for small scale adaptive array. IEEE Trans. Antenna Propag. 62(5), 2522–2530 (2014)CrossRefGoogle Scholar
  9. 9.
    Kamenetsky, M., Widrow, B.: A variable leaky LMS adaptive algorithm. In: Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, pp. 125–128 (2004)Google Scholar
  10. 10.
    Senapati, A., Ghatak, K., Roy, J.S.: A Comparative study of adaptive beamforming techniques in smart antenna using LMS algorithm and its variants. In: International Conference on Computational Intelligence and Networks, pp. 58–62 (2015)Google Scholar
  11. 11.
    Wang, W., Zhao, H.: Diffusion signed LMS algorithms and their performance analysis for cyclostationary white Gaussian inputs. IEEE Access 5, 18876–18894 (2017)CrossRefGoogle Scholar
  12. 12.
    Sowjanva, M., Sahoo, A.K., Kumar, S.: Distributed incremental Leaky LMS. In: International Conference on Communications and Signal Processing, pp. 1753–1757 (2015)Google Scholar
  13. 13.
    Bellofiore, S., Balanis, C.A., Foutz, J., Spanias, A.S.: Smart-antenna systems for mobile communication network. Part I: Overview and antenna design. IEEE Antennas Propag. Mag. 44(3), 145–154 (2002)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Ritika Sharma
    • 1
  • Anupama Senapati
    • 1
  • Jibendu Sekhar Roy
    • 1
    Email author
  1. 1.School of Electronics EngineeringKalinga Institute of Industrial Technology (KIIT) Deemed to be UniversityBhubaneswarIndia

Personalised recommendations