Blind Number of Active Users Estimation and Synchronization in CDMA Systems with Unequal Power’s Signal on Flat Fading Channel
Subject Areas : electrical and computer engineeringS. Ghavami 1 , V. Tabatabvakili 2
1 - University of Science and Technology
2 -
Abstract :
Blind estimation of number of active users and synchronization of those have important role in identification of system’s parameters, for the spectrum surveillance system design of multi-user direct sequence spread spectrum systems. For the number of active user estimation, signal’s eigenvalues of the received signal covariance matrix is distinguished from those of noise using an adaptive threshold. Analytical results and computer simulations show that signal of users with limited received power difference (less than 1.5 dB) can be synchronized using maximizing the Frobenious norm of the received signal covariance matrix. Moreover, this method is robust against of the carrier frequency offset which is due to Doppler shift in the carrier frequency of different users. By increasing difference among received powers of processed signals, performance of this method will be degraded. Hence, an iterative algorithm for interference cancellation of users with higher received power is proposed, which can be synchronize and estimate the number of active users with lower received power. The proposed method for number of active user estimation reduces computational complexity in comparison with the traditional methods for number of active user estimation, such as MDL and AIC, while keep the accuracy of estimation in low SNR regime. The performance of blind synchronization method in the flat fading channel is degraded; hence, a multi-antenna receiver is proposed to improve the probability of correct synchronization.
[1] Y. Yao and H. Vincent Poor, "Eavesdropping in the synchronous CDMA channel: an EM-based approach," IEEE Trans. on Signal Processing, vol. 49, no. 8, pp. 1748-1756, Aug. 2001.
[2] X. Wang and U. V. Poor, "Blind multiuser detection: a subspace approach," IEEE Trans. on Information Theory, vol. 44, no. 2, pp. 667-690, Mar. 1998.
[3] G. Ricci, M. K. Varanasi, and A. De Maio, "Blind multiuser detection via interference identification," IEEE Trans. on Communications, vol. 50, no. 7, pp. 1172-1181, Jul. 2002.
[4] K. Waheed, K. Desai, and E. M. Salem, "Blind multi user detection in DS-CDMA systems using narural gradient based symbol recovery structures," in Proc. Int. Symp. on Independent Component Analysis and Blind Signal Separation, vol. 1, 727-732, Apr. 2003.
[5] J. K. Tugnait and T. Li, "Blind asynchronous multiuser CDMA receivers for ISI channels using code-aided CMA," IEEE J. on Selected Areas in Communications, vol. 14, no. 8, pp. 1520-1530, Aug. 2001.
[6] M. Wax and T. Kailath, "Detection of signals by information theoretic criteria," IEEE Trans on Acoustic, Speech, and Signal Processing, vol. 33, no. 2, pp. 387-392, Apr. 1985.
[7] A. Ferréol, L. Albera, and P. Chevalier, "Fourth-order blind identification of underdetermined mixtures of sources (FOBIUM)," IEEE Trans. on Signal Processing, vol. 53, no. 5, pp. 1640-1653, May 2005.
[8] C. Nsiala Nzea, R. Gautier, and G. Burel, "Blind synchronization and sequences identification in CDMA transmissions," in Proc. IEEE Military Communications Conf., vol. 3, pp. 1384-1390, Oct./Nov. 2004.
[9] C. Nsiala Nzéza, R. Gautier, and G. Burel, "Parallel blind multiuser synchronization and sequences estimation in multirate CDMA transmissions," in Proc. Asilomar Conf. on Signals, Systems and Computers, vol. 1, pp. 2157-2161, Oct./Nov. 2006.
[10] C. Nsiala Nzéza, R. Gautier, and G. Burel, "Blind multiuser identification in multirate CDMA transmissions: a new approach," in Proc. IEEE Conf. on Signals, Systems, and Computers, vol. 1, pp. 2162-2166, Oct./Nov. 2006.
[11] C. Nsiala Nzéza, R. Gautier, and G. Burel, "Blind multiuser detection in multirate CDMA transmissions using fluctuations of correlation estimators," in Proc. IEEE Global Telecommunications Conf., 5 pp.و San Francisco, CA, US, Nov./Dec. 2006.
[12] S. Ghavami and V. T. Vakili, "Joint blind users identification and synchronization in non-cooperative CDMA systems in slow flat fading channels," in Proc. of Iranian Conf. on Electrical Engineering, vol. 1, pp. 176-181, May 2008.
[13] S. Ghavami and V. T. Vakili, "Blind SNR estimation on WCDMA systems with unequal power signals and without any prior knowledge," in Proc. of Mobile and Wireless Communications Summit, 5 pp., Jul. 2007.
[14] T. Koivisito and V. Koivunen, "Blind despreading of short-code DS-CDMA signals in asynchronous multi-user systems," Signal Processing J., vol. 87, no. 11, pp. 2560-2568, Nov. 2007.
[15] S. Ghavami, V. T. Vakili, and B. Abolhassani, "Blind identification and synchronization of unequal power users on CDMA systems based on eigenvalues variations in slow flat fading channels," Int. J. of Electronic and Communication (AEÜE), Elsevier, vol. 64, no. 8, pp. 697-709, Aug. 2010.
[16] S. Ghavami and S. A. A. Beheshti Shirazi, "Blind detection number of sources and synchronization in CDMA with QPSK modulation and different PN sequence in in - phase and quadrate components," in Proc. of Iranian Conf. on Electrical Engineering,, vol. 4, pp. 716-721, May 2008.
[17] G. Burel, C. Bouder, and O. Berder, "Detection of direct sequence spread spectrum transmissions without prior knowledge," in Proc. IEEE of Global Telecommunications Conf.,, vol. 1, pp. 236-239, Nov. 2001.
[18] S. Ghavami and B. Abolhassani, "Blind detection using negentropy or kurtosis for the detection of DS - SS signal presence over fading channels without prior knowledge of spreading sequence," in Proc. IEEE Int. Symp. on Personal, Indoor and Mobile Radio Communications, 5 pp., Sep. 2007.
[19] S. Ghavami and B. Abolhassani, "Detection of DS-SS signals over fading channels without prior knowledge of spreading sequence," in Proc. IEEE Int. Symp. on Personal, Indoor and Mobile Radio Communications, 5 pp., Sep. 2006.
[20] J. Yan and J. J. Hongbing, "A cyclic-cumulant based method for DS-SS signal detection and parameter estimation," in Proc. IEEE Int. Symp. on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, vol. 2, pp. 966-969, Aug. 2005.
[21] Q. T. Zhang, "Maximal-ratio combining over Nakagami fading channels with an arbitrary branch covariance matrix," IEEE Trans. on Vehicular Technology, vol. 48, no. 4, pp. 1141-1150, Jul. 1999.
[22] W. C. Lee, Mobile Communications: Design Fundamentals, 2nd Ed. New York: Wiley, pp. 202-211, 1993.