Document Type : Research Paper

Author

College of Engineering, University of Al-Anbar, Iraq

10.37652/juaps.2008.15411

Abstract

In this paper, a proposed model based on In-Place Wavelet Transform (IP-WT) was suggested to improve the performance of the Orthogonal Frequency Division Multiplexing (OFDM) under the Additive White Gaussian Noise (AWGN), and flat fading channel. The proposed model does not require additional arrays at each sweep such as in the ordered Haar wavelet transform; this ensures fast processing time with minimum memory size. The results extracted by a computer simulation and compared with the performance of the conventional model based on Fast Fourier Transform (FFT). As a result, it can be seen that the proposed technique has high performance improvement over the conventional OFDM system based FFT, where the Bit Error Rate (BER) is widely reduced under these models of channels.

Keywords

[1] R. W. Chang. (1966). Synthesis of Band-Limited Orthogonal Signals for Multichannel Data Transmission. Bell System Technical Journal, vol. 46.. pp. 1775-1796.
[2] T. De. Couasnon, R. Monnier, and J. B. Rault. (1994). OFDM for Digital TV Broadcasting. Journal of Signal Processing, vol. 39.. pp. 1-32.
[3] L. Hanzo, M. Munster, B. J. Chol, and T. Keller. (2003). OFDM and MC-CDMA for Broadband Multi-user Communications WLANs and Broadcasting. John Wiley & Sons.
[4] S. B. Weinstein and P. M. Ebert. (1971). Data Transmission by Frequency Division Multiplexing Using the Discrete Fourier Transform. IEEE Transaction on Communication Technology. vol. com-19.. pp. 628-634.
[5] H. Zang, Y. Dongfeng, J. Mingyan and. Wu. Dalei. (2004). Research of DFT-OFDM and DWT-OFDM on Different Transmission Scenarios. Proceedings of the 2nd International Conference on Information Technology for Application (ICITA).
[6] S. M. Salih, N. Uzunoglou, A. Laith, and L. A. El-Anzy. (2007). A Proposed Model for MC-CDMA Based In-Place Wavelet Transform. Third International Mobile Multimedia Communications Conference (MobiMedia 2007 conference), 27-29 August, Nafpaktos, Greece.
[7] L. Howard, O. Raymond, and Jr. Wells. (1998). Wavelet Analysis. ISBN 0-387-98383-x. Springer-Verlag New York.
[8] Y. Nievergelt. (1999). Wavelets Made Easy. Birkhauser, Boston Inc.