OPEN ACCESS
This paper proposes a dual-tree complex wavelet transform (DTCWT) based adaptive rake receiver for Ultra-Wideband (UWB) systems. Advantage of using dual tree complex wavelet transform is that instead of capturing the signal energy in different multipath components at different delays, it captures them at different frequency components. LMS equalizer used in the receiver structure reduces the ISI. This adaptive scheme does not require all the parameters of the multipath components, but a short training period is only required to adjust the tap weights. The performance of the proposed receiver is evaluated and compared with existing conventional adaptive rake receiver and adaptive continuous wavelet transform rake receiver. All possible rake combinations such as ARAKE, SRAKE and PRAKE are considered, and it is found that the performance of the proposed system has shown a significant SNR improvement of 5-6 dB over conventional adaptive rake receiver.
UWB system, Rake receiver, Wavelet transform, DTCWT
[1] S.E. El-Khamy, E.F. Badran, A.I. Zaki, UWB analog space time coding systems using a genetic algorithm based adaptive rake receiver, 2010, Proceedings of the 4th International Conference on Signal Processing and Communication Systems, Australia, December 2010.
[2] J.D. Choi, W.E. Stark, Performance of ultra-wideband communications with suboptimal receivers in multipath channels, 2002, IEEE Journal on Selected Areas in Communications, vol. 20, no. 9.
[3] I. Oppermann, M. Ha¨ma¨ la¨ inen, J. Iinatti, UWB theory and applications, 2004, England, John Wiley & Sons, Ltd.
[4] B. Mielczarek, M. Wessman, A. Svensson, Performance of coherent UWB rake receivers with channel estimators, 2003, IEEE 58th, Vehicular Technology Conference, vol. 3.
[5] M. Ghavami, L.B. Michael, R. Kohno, Ultra-wideband signals and systems in communication engineering, 2004, England, John Wiley & Sons, Ltd.
[6] M.Z. Win, G. Chrisikos, N.R. Sollenberger, Performance of rake reception in dense multipath channels: implications of spreading bandwidth and selection diversity order, 2000, IEEE Journal on Selected Areas in Communications, vol. 18, no. 8.
[7] L. Yang, G.B. Giannakis, Analog space–time coding for multi-antenna ultra-wideband transmissions, 2004, IEEE Transactions on Communications, vol. 52, no. 3.
[8] T. Kaiser, F. Zheng, E. Dimitrov, An overview of ultra-wide-band systems with MIMO, 2009, IEEE Proceedings, vol. 97, no. 2.
[9] S.E. El-Khamy, E.F. Badran, A.I. Zaki, Interference rejection in UWB systems using smart STC based on GA rake receivers and TR technique, 2011, Proceedings of the 28th National Radio Science Conference, NRSC 2011, Cairo, Egypt, March 2011.
[10] Foerster et al., Channel modeling sub-committee report final, 2003, IEEE P802.15 Wireless Personal Area Networks, P802.15-02/490rl-SG3a, Feb. 2003.
[11] Y. Li, A.F. Molisch, J. Zhang, Channel estimation and signal detection for UWB, 2003, WPMC, Wireless Personal Multimedia Communications, Oct. 2003.
[12] J.D. Choi, W.E. Stark, Performance of ultra-wideband communications with suboptimal receivers in multi-path channels, 2002, IEEE Journal on Selected Areas in Communications, vol. 20, pp. 1754-1766.
[13] F. Ramirez-Mireles, On the performance of ultra-wideband signals in Gaussian noise and dense multipath, 2001, IEEE Trans. On Vehicular Technology, vol. 50, no. 1, pp. 244-249.
[14] M.K. Lakshmanan, H. Nikookar, A review of wavelets for digital wireless communication, 2006, Journal of Wireless Personal Communications, vol. 37, no. 3.
[15] H.M. Oliveira, H.A. Silva, E.A. Bouton, Wavelet shift-keying: A new digital modulation, 2003, XX Simpósio Bras. de Telecomunicações, Rio de Janeiro.
[16] F.S. Hassen, The performance of orthogonal wavelet division multiplexing in flat Rayleigh fading channel, 2008, Journal of Engineering and Development, vol. 12, no. 1.
[17] A.H. Kattoush, W.A. Mahmoud, S. Nihad, The performance of multiwavelets based OFDM system under different channel conditions, 2010, Journal of Digital Signal Processing, vol. 20, no. 2.
[18] L.F. Chernogo, O.V. Lasorenko, Application of the wavelet analysis for detecting ultra-wideband signals in noise, 2000, VIIIth International Conference on Mathematical Methods in Electromagnetic Theory.
[19] L.M. Yu, L.B. White, Design of complex wavelet pulses enabling psk modulation for uwb impulse radio communications, 2006, Auswireless Conference, 2006.
[20] A. Zaki, S. El-khamy, E.F. Badran, A novel rake receiver based on continuous wavelet transform designed for UWB systems, 2012, European Journal of Scientific Research.
[21] Y. Guo, Wavelet packet transform-based time of arrival estimation method for orthogonal frequency division multiplexing ultra-wideband signal, 2015, IET Sci. Meas. Technol., vol. 9, pp. 344-350.
[22] K. Duncan, K. Mugiira, M. Simon., Optimal rake receiver model utilizing time hopping impulse response on UWB system, 2016, IJOAR, vol.4, no. 9, pp. 1-15.