Skip to main content

Experimental Measurement for EVM Performance Enhancement of Wireless Repeater System

  • Conference paper
Communication and Networking (FGCN 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 266))

  • 848 Accesses

Abstract

This paper suggests the adaptive multi-feedback filter system which, among a number of adaptive feedback filters in the wireless repeater system, applies the most appropriate feedback system according to the channel environment to enhance the performance of removing interference. The experiment result shows that the ITU 3GPP (3rd Generation Partnership Project) recommended specifications are met on both down-link and up-link. The cancellation was 25dBm, the window size was 500ns/1us, and the max. power was +10dBm. By using algorithms selectively according to the change of environment, the system reduced unnecessary use of hardware resources, and enhanced the convergence rate.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Lattice Semiconductor Corporation, LMS Adaptive Filter, Reference Design RD1031 (December 2006)

    Google Scholar 

  2. Kim, I.: The Improved 8-PSK Space-Time Trellis Codes on Fast Fading Channels for High Data Rate Transmission. Korea Institute of Information Technology 7(6), 93–98 (2010)

    Google Scholar 

  3. Song, Y.J., Kang, I.: New Rapid Synchronization Method for Indoor Wireless Channel Environment. Korea Institute of Information Technology 9(4), 105–112 (2011)

    Google Scholar 

  4. Dasgupta, S., et al.: Sign-Sign LMS convergence with Independent Stochastic Inputs. IEEE Trans. on Information Theory 36(1), 197–201 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  5. Kwong, R.H., Johnston, E.W.: A variable step size LMS algorithm. IEEE Trans. Signal Processing 40(7), 1633–1642 (1992)

    Article  MATH  Google Scholar 

  6. Rani, S., Subbaiah, P.V., Chennakesava Reddy, K.: LMS and RLS Algorithms for Antennas in a CDMA Mobile Communication Environment. International Journal of The Computer, the Internet and Management 16(3), 12–21 (2008)

    Google Scholar 

  7. http://www.altera.com

  8. http://www.ti.com

  9. Lee, M., Keum, B., Son, Y., Joo-Wan, K., Lee, H.S.: A New Low-Complex Interference Cancellation Scheme for WCDMA Indoor Repeater. In: IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering, SIBIRCON, pp. 457–462 (July 2008)

    Google Scholar 

  10. Kwong, R.H., Johnston, E.W.: A variable step size LMS algorithm. IEEE Trans. Signal Processing 40(7), 1633–1642 (1992)

    Article  MATH  Google Scholar 

  11. Lan, T., Zhang, J.: FPGA Implementation of an Adaptive Noise Canceller. In: International Symposiums on Information Processing, pp. 553–558 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ko, D., Park, H. (2011). Experimental Measurement for EVM Performance Enhancement of Wireless Repeater System. In: Kim, Th., et al. Communication and Networking. FGCN 2011. Communications in Computer and Information Science, vol 266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27201-1_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27201-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27200-4

  • Online ISBN: 978-3-642-27201-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics