CFP last date
20 May 2024
Reseach Article

Interference Cancellation Schemes in UWB Systems Used in Wireless Personal Area Network based on Wavelet based Pulse Spectral shaping and Transmitted Reference UWB using AWGN Channel Model

by Bikramaditya Das, Susmita Das, Ch.Sasmita Das
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 2
Year of Publication: 2010
Authors: Bikramaditya Das, Susmita Das, Ch.Sasmita Das
10.5120/620-890

Bikramaditya Das, Susmita Das, Ch.Sasmita Das . Interference Cancellation Schemes in UWB Systems Used in Wireless Personal Area Network based on Wavelet based Pulse Spectral shaping and Transmitted Reference UWB using AWGN Channel Model. International Journal of Computer Applications. 2, 2 ( May 2010), 88-92. DOI=10.5120/620-890

@article{ 10.5120/620-890,
author = { Bikramaditya Das, Susmita Das, Ch.Sasmita Das },
title = { Interference Cancellation Schemes in UWB Systems Used in Wireless Personal Area Network based on Wavelet based Pulse Spectral shaping and Transmitted Reference UWB using AWGN Channel Model },
journal = { International Journal of Computer Applications },
issue_date = { May 2010 },
volume = { 2 },
number = { 2 },
month = { May },
year = { 2010 },
issn = { 0975-8887 },
pages = { 88-92 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume2/number2/620-890/ },
doi = { 10.5120/620-890 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:49:48.498653+05:30
%A Bikramaditya Das
%A Susmita Das
%A Ch.Sasmita Das
%T Interference Cancellation Schemes in UWB Systems Used in Wireless Personal Area Network based on Wavelet based Pulse Spectral shaping and Transmitted Reference UWB using AWGN Channel Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 2
%N 2
%P 88-92
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For high data rate ultra wideband communication system, performance study of mutual interference such as suppression of interference signal by performing pulse shaping from UWB to other narrowband system using wavelet technique and reduction of interference from other narrowband system to UWB system in conjunction with Transmitted-Reference (TR-UWB) signaling scheme with adaptive receivers is attempted in this paper. The TR-UWB signal using wavelet is based on multi-resolution technique to avoid its interference to other wireless systems. Ultra Wideband (UWB) wireless systems supposed to coexist with other spectrally overlapping wireless systems such as narrowband interference (NBI), multiple NBI and wideband interference allocated from 3.1GHz to 10.6GHz. So suppression of UWB from other system can be performed by using Eigen value decomposition using wavelet technique. Mutual interference degrades the performance of the TR-UWB system using auto-correlation receivers (AcR). In this paper adaptive receiver (using notch filter) is used for detection and suppression of mutual interference (narrowband and wideband signal) which do not require modification of the narrowband system. The bit error rate performances are investigated using MATLAB simulation under AWGN channel model. At 10-2 BER floor, TR-UWB using adaptive receiver with NBI simulations under AWGN provides a more than of 6 dB SNR improvement than that of TR using AcR receiver with NBI. The performance degrades when coexistence of multiple NBI and wideband interference wireless system with UWB system is applied using the same receiver.

References
  1. Federal Communications Commission, “New publicsafety applications and broadband internet access among uses envisioned by fcc authorisation of ultrawideband technology,” FCC, 2002.
  2. D. Zeng, A. Annamalai Jr., and A.I. Zaghloul, “Pulseshaping filter design in uwb system,” IEEE Conference on Ultra Wideband Systems and Technologies, Nov 2003, pp. 66–70.
  3. Y. Li and X.Huang, “The spectral evaluation and comparison for ultra-wideband signals with different modulation schemes,” The 2000 World Multiconference on Systemics, July 2000, pp. 277–282.
  4. R S DILMAGHNI, G MOHAMMAD, A BEN, “Novel UWB pulse shaping using prolate spheroidal wave functions,” PIMRC2003,Beijing, 2003,pp.602-606.
  5. J J KNAB, “Interpolation of band-limited functions using the approximate prolate series,” IEEE Trans Inform Theory (Corres), vol. IT-25, 1979, pp. 717-720.
  6. F. Dowla, F. Nekoogar, and A. Spiridon, “Interference mitigation in transmitted-reference ultrawideband(uwb) receivers,” IEEE International Symposium on Antennas and Propagation, 2004, vol. 2, pp.1307–1310.
  7. K. Ohno, T. Ikebe, and T. Ikegami, “A proposal for an interference mitigation technique facilitating the coexistence of bi-phase uwb and other wideband systems,” IEEE IWUWBS UWQBST 2004, May 2004, pp. 50–54.
  8. J. Han and C. Nguyen, “A new ultra-wideband, ultra-short monocyclepulse generator with reduced ringing,” IEEE Microwave Wireless Compon.Lett., vol. 12, pp.206-208, June 2002.
  9. Taha., K. M. Chugg, “A theoretical study on the effects of interferenceUWB multiple access impulse radio Signals,” Systems and Computers2002 Conference Record of the Thirty-Sixth Asilomar Conference.,Vol.1,pp.728-732,Nov2002.
  10. Sablatash M, Sellathurai M. "Methods for interference mitigation by and into UWB communication systems, including techniques based on multi-band techniques and on wavelets." In: Proceedings of the 22nd biennial symposium on communications, Kingston, Canada, May 2004.
  11. Q. Dang, A. Trindade, A.-J. van der Veen, and G. Leus, “Signal model and receiver algorithms for a transmit-reference ultra-wideband communication system,” IEEE Journal on Communications,vol. 24, no. 4, pp.773–779, April 2006.
  12. Zhendong Luo, Hong Gao, Yuanan Liu, and Jinchun Gao” A New UWB Pulse Design Method for Narrowband Interference Suppression” IEEE Communications Society, Globecom 2004
Index Terms

Computer Science
Information Sciences

Keywords

TR-UWB AWGN Channel Model NBI multiple NBI wideband interference Bit Error Rate