Abstract
This paper presents the application of sequential Monte Carlo (SMC) methodology for blind detection in wireless direct sequence code division multiple access (DS-CDMA) systems over fading channels. It is known that the conventional SMC method requires a high-computational complexity that grows exponentially with the number of active users. This paper proposes a solution to this problem by employing Cholesky factorization to decompose the observed data into separate components for each user and then the parameters of each user are estimated with the SMC inference method under the decision feedback framework. Based on these concepts, an efficient blind decision feedback SMC (DF-SMC) receiver is developed for differentially encoded DS-CDMA systems. Simulation results demonstrate the promising performance of the proposed receiver for both flat fading and frequency-selective fading channels.
Similar content being viewed by others
References
Andrieu, C., Doucet, A., & Touzni, A. (2000). Adaptive MAP multiuser detection for fading CDMA channels. In Proceedings of the 10th IEEE workshop on statistical signal and array processing, 6–9.
Chen R., Wang X., Liu J.S. (2000) Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering. IEEE Transaction on Information Theory 46(6): 2079–2094
Djuric, P. M., Kotecha, J. H., Zhang, J., Huang, Y., Ghirmai, T., Bugallo M. F., & Miguez, J.(2003). Applications of particle filtering to selected problems in communications: A review and new developments. Signal Processing Magazine.
Dong B., Wang X., Doucet A. (2003) A new class of soft MIMO demodulation algorithms. IEEE Transactions on Signal Processing 51(11): 2752–2763
DoucetA., de Freitas N., Gordon N. (2000) Sequential Monte Carlo methods in practice. Springer, Berlin
Ghirmai, T., Bugallo, M. F., Miguez J., & Djuric, P. M. (2003). Joint symbol detection and timing estimation using particle filtering. In Proceedings of the IEEE international conference on acoustics, speech, and signal processing, Hong Kong.
Guo D., Wang X. (2003) Blind detection in MIMO systems via sequential Monte Carlo. IEEE Journal on Selected Areas in Communications 21(3): 464–473
Huang Y., Djuric P.M. (2004) A blind particle filtering detector of signals transmitted over flat fading channels. IEEE Transactions on Signal Processing 52(7): 1891–1900
Iltis R.A. (2003) A sequential Monte Carlo filter for joint linear/nonlinear state estimation with application to DS-CDMA. IEEE Transaction on Signal Processing 51(2): 417–426
Kim K.J., Iltis R.A. (2002) Joint detection and channel estimation algorithms for QS-CDMA signals over time-varying channels. IEEE Transactions on Communications 50(5): 845–855
Liu J.S., Chen R. (1998) Sequential Monte Carlo Methods for dynamic systems. Journal of American Statistical Association 93: 1032–1044
Punskaya E., Andrieu C., Doucet A., Fitzgerald W.J. (2001) Particle filtering for demodulation in fading channels with non-Gaussian additive noise. IEEE Transactions on Communications 49(4): 579–582
Punskaya, E., Andrieu, C., Doucet, A., Fitzgerald, W. J. (2001). Particle filtering for multiuser detection in fading CDMA channels. In Proceedings of the 11th IEEE signal processing workshop on statistical signal processing, pp. 38–41.
Punskaya, E., Doucet, A., & Fitzgerald, W. J. (2004). Particle filtering for joint symbol and code delay estimation in DS spread spectrum systems in multipath environment. EURASIP Journal on Applied Signal Processing, (15), 2306–2314.
Punskaya, E., Doucet, A., & Fitzgerald, W. J. (2002). On the use and misuse of particle filtering in digital communications. In Proceedings of the EUSIPCO.
Verdu, S. (1986). Minimum probability of error for asynchronous Gaussian multiple-access channels. IEEE Transaction on Information Theory, IT-32(1), 85–96.
Verdu S. (1998) Multiuser detection. University Press, Cambridge
Wang X., Chen R., Liu J.S. (2002) Monte Carlo Bayesian signal processing for wireless communication. Journal of VLSI Signal Processing 30: 89–105
Yang Z., Wang X. (2002) Blind turbo multiuser detection for long-code multipath CDMA. IEEE Transactions on Communications 50(1): 112–125
Yang Z., Wang X. (2002) A sequential Monte Carlo blind receiver for OFDM systems in frequency-selective fading channels. IEEE Transactions on Signal Processing 50(2): 271–280
Zhang, J., Huang, Y., & Djuric, P. M. (2002). Multiuser detection with particle filtering. In Proceedings of the EUSIPCO.
Zhang, J., Huang, Y., & Djuric, P. M. (2002). Joint channel estimation and multiuser detection using particle filtering. In Proceedings of conference on information sciences and systems, Princeton, NJ.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yu, Q., Bi, G. & Zhang, L. Modified SMC method of blind multiuser detection for DS-CDMA systems over fading channels. Wireless Pers Commun 43, 1339–1349 (2007). https://doi.org/10.1007/s11277-007-9306-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-007-9306-z