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Channel Identification Using Chaos for an Uplink/Downlink Multicarrier Code Division Multiple Access System

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A scheme of chaotic spreading sequence for multicarrier code division multiple access system (MC-CDMA) iproposed to estimate the transmission channel. This systespreads spectrum and identifies the channel, simultaneously. The proposed scheme uses a chaotic sequence generated by a logistic map as a training signal and estimate channel parameters according to dynamics of the chaotic sequence. Encoding data by chaotic sequences is first built and then the orthogonal codes are used to spread the encrypted data for multiusers scheme. At the reception, first the channel parameters are identified using a training chaotic sequence in order to equalize the received data, and then the encrypted information is decoded for the desired user. The studies reveal that the proposed system (chaos plus orthogonal codes) significantly outperforms the Walsh-Hadamard code spreading in MC-CDMA system. The performance of the system is considered in the multiuser case by means of simulation. The simulation result shows that the proposed chaotic code spreading approach for channel identification achieves significant improvement in the channel identification, comparing to using others training sequence or the least square method.
Rocznik
Tom
Strony
48--54
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
autor
autor
autor
autor
  • GREYC UMR 6072 CNRS, Ecole Nationale Sup´erieure d'Ing´enieurs, de Caen (ENSICAEN) 6, B. Mar´echal Juin, 14050 Caen, France, mfrikel@greyc.ensicaen.fr
Bibliografia
  • [1] S. Papadimitriou, T. Bountis, S. Mavaroudi, and A. Bezerianos, “A probabilistic symmetric encryption scheme for very fast secure communications based on chaotic systems of difference equations”, Int. J. Bifurc. Chaos, vol. 11, pp. 3107–3115, 2001.
  • [2] N. K. Pareek, V. Patidar, and K. K. Sud, “Discrete chaotic cryptography using external key”, Phys. Lett. A, vol. 309, pp. 75–82, 2003.
  • [3] A. T. Parker and K. M. Short, “Reconstructing the keystream from a chaotic encryption scheme”, IEEE Trans. Circ. Syst., vol. 48, pp. 624–630, 2001.
  • [4] V. Stefano and S. Gianluca, “Improving PA efficiency by chaos based spreading in MC/DS-CDMA systems”, in Proc. IEEE ISCAS Conf., Kos, Greece, 2006, pp. 1195–1198.
  • [5] A. Abel and W. Schwarz, “Chaos communication-principles schemes and system analysis”, Proc. IEEE, vol. 90, no. 5, pp. 691–710, 2002.
  • [6] S. Kaiser, “Multi-carrier CDMA mobile radio system-analysis and optimization of detection, decoding, and channel estimation”, Ph.D. thesis, University of Munich, Germany, 1998.
  • [7] S. Safi, M. Frikel, M. M’Saad, and A. Zeroual, “Blind impulse response identification of frequency radio channels: application to BRAN a channel”, Int. J. Sig. Proc., vol. 4, no. 1, pp. 201–206, 2007.
  • [8] S. Safi and A. Zeroual, “Blind parametric identification of linear stochastic non-Gaussian FIR systems higher order cumulants”, Int. J. Syst. Sci., vol. 35, no. 15, pp. 855–867, 2004.
  • [9] W. Xingang, M. Zhana, G. Xiaofeng, L. Heng, and L. Ying-Cheng, “Spread-spectrum communication using binary spatiotemporal chaotic codes”, Phys. Lett. A, vol. 334, pp. 30–36, 2005.
  • [10] “Broadband Radio Access Networks (BRAN); High Performance Radio Logical Area Network (HIPERLAN) Type 2: Requirements and architectures for wireless broadband access”, ETSI, TR 101 031 V2.2.1 (1999–01).
  • [11] “Broadband Radio Access Networks (BRAN); HIPERLAN Type 2; Physical (PHY) layer”, ETSI, TS 101 475 V1.3.1 (2001–12).
  • [12] F. Horlin, S. De Rore, E. Lopez-Estraviz, F. Naessens, and L. Van der Perre, “Impact of frequency offsets and IQ imbalance on MCCDMA reception based on channel tracking”, IEEE J. Select. Areas Commun., vol. 24, no. 6, pp. 1179–1188, 2006.
  • [13] K. Fazel and L. Papke, “On the performance of convolutionnallycoded CDMA/OFDM for mobile communication system”, in Proc. IEEE Int. Symp. Pers. Ind. Mob. Radio Commun. PIMRC’93, Berlin, Germany, 1993, pp. 468–472.
  • [14] N. Yee, J. M. G. Linnartz, and G. Fettweis, “Multi-carrier-CDMA in indoor wireless networks”, in Proc. IEEE Int. Symp. Pers. Ind. Mob. Radio Commun. PIMRC’93, Yokohama, Japan, 1993, pp. 109–113.
  • [15] J. M. G. Linnartz, “Performance analysis of synchronous MCCDMA in mobile Rayleigh channel with both delay and Doppler spreads”, IEEE Trans. Veh. Technol., vol. 50, no. 6, 2001, pp. 1375–1387.
  • [16] M. Frikel, B. Targui, M. M’Saad, and F. Hamon, “Bit error rate analysis of the controlled equalization for MC-CDMA”, in IEEE ICSPC’07 Conf., Dubai, United Arab Emirates, 2007.
  • [17] S. Kaiser, “OFDM-CDMA versus DS-CDMA: performance evaluation for fading channels”, in Proc. IEEE Int. Conf. Commun., Seattle, USA, 1995, pp. 1722–1726.
  • [18] D. Mottier and D. Castelain, “SINR-based channel pre-equalization for uplink multi-carrier CDMA systems”, in Proc. IEEE Int. Symp. Pers. Ind. Mob. Radio Commun. PIMRC’02, Lisbon, Portugal, 2002, pp. 1488–1492.
  • [19] S. Azou, G. Burel, and C. Pistre, “A chaotic direct-sequence spread-spectrum system for underwater communication”, in Proc. OCEANS’02 MTS/IEEE Conf., Biloxi, USA, 2002, vol. 4, pp. 2409–2415.
  • [20] C. Ling and S. Li, “Chaotic spreading sequences with multiple access performance better than random sequences”, IEEE Trans. Circ. Syst. I Fund. Theory Appl., vol. 47, no. 3, pp. 394–397, 2006.
  • [21] S. L. Georgoulis and D. G. M. Cruickshank, “Transmitter-based inverse filters for reducing MAI and ISI in CDMA-TDD downlink”, IEEE Trans. Wirel. Commun., vol. 3, no. 2, pp. 353–358, 2004.
  • [22] M. P. Kennedy, R. Rovatti, and G. Setti, “Chaotic electronics in telecommunications”, in Proc. CRC Conf., Boca Raton, USA, 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATA-0008-0027
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