Skip to main content

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 199))

Abstract

Several types of Rake Receivers like A-Rake, S-Rake, P-Rake, Adaptive frequency Rake, Time frequency Rake, Conventional MMSE Rake and Adaptive MMSE rake are used for WCDMA. In this paper we observed that the BER performance of the Adoptive MMSE Rake receiver gives better result in WCDMA. The comparative analysis proved that the Adaptive MMSE Rake Receiver is much better than Conventional Rake Receiver. Both Genetic Algorithm (GA) and as well as Conventional algorithm are derived for WCDMA environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Fishler, E., Poor, H.V.: On the tradeoff between two types of processing gain. IEEE Transactions on Communications 53(10), 1744–1753 (2005)

    Article  MathSciNet  Google Scholar 

  2. Zhiwei, L., Premkumar, A.B., Madhukumar, A.S.: Matching pursuit-based tap selection technique for UWB channel equalization. IEEE Communications Letters 9, 835–837 (2005)

    Article  Google Scholar 

  3. Haupt, R.L., Haupt, S.E.: Practical Genetic Algorithms. John Wiley & Sons Inc., New York (1998)

    MATH  Google Scholar 

  4. Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison- Wesley, Reading (1989)

    MATH  Google Scholar 

  5. Mitchell, M.: An Introduction to Genetic Algorithms. MIT Press, Cambridge (1996)

    Google Scholar 

  6. Juntti, M.J., Schlosser, T., Lilleberg, J.O.: Genetic algorithms for multiuser detection in synchronous CDMA. In: Proc. IEEE International Symposium on Information Theory, p. 492 (1997)

    Google Scholar 

  7. Yen, K., Hanzo, L.: Genetic-algorithm-assisted multi-user detection in asynchronous CDMA communications. IEEE Transactions on Vehicular Technology 53(5), 1413–1422 (2004)

    Article  Google Scholar 

  8. Cassioli, D., Win, M.Z., Molisch, A.F.: The ultra-wide bandwidth indoor channel: From statistical model to simulations. IEEE Journal on Selected Areas in Communications 20, 1247–1257 (2002)

    Article  Google Scholar 

  9. Win, M.Z., Winters, J.H.: Analysis of hybrid selection/maximal-ratio combining of diversity branches with unequal S NR in Rayleigh fading. In: Proc. IEEE 49th Vehicular Technology Conference (VTC 1999), Houston, TX, vol. 1, pp. 215–220 (Spring 1999)

    Google Scholar 

  10. Yue, L.: Analysis of generalized selection combining techniques. In: Proc. IEEE 51st Vehicular Technology Conference (VTC 2000), Tokyo, Japan, vol. 2, pp. 1191–1195 (Spring 2000)

    Google Scholar 

  11. Xu, Z., Tsatsanis, M.K.: Blind adaptive algorithms for minimum variance cdma receivers. IEEE Transactions on Aerospace and Electronic Systems 26(2), 423–427 (1990)

    Article  Google Scholar 

  12. Honig, M., Madhow, U., Verdu, S.: Blind Adaptive multiuser detection. IEEE Transactions on Information Theory 41, 944–960 (1950)

    Article  Google Scholar 

  13. Li, Q., Rusch, L.A.: Multiuser detection for ds-cdma uwb in the home environment. IEEE Transactions on Communications 49(1), 180–193 (2001)

    Article  Google Scholar 

  14. Molisch, A.F., Foerster, J.R., Pendergrass, M.: Channel models for ultra wideband personal area networks. IEEE Wireless Communications 10(1), 14–21 (2003)

    Article  Google Scholar 

  15. Int. J. of Advanced Networking and Applications 2(2), 621–625 (2010); Adaptive MMSE Rake Receiver for WCDMA, J. Jeya A Celin Professor of Information Technology, Noolul Islam University, Tamilnadu, India

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. M. Borkar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Borkar, A.M., Ghate, U.S., Panchbudhe, N.S. (2013). Implementation of Adaptive MMSE Rake Receiver. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35314-7_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35313-0

  • Online ISBN: 978-3-642-35314-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics