Abstract
The least square constant modulus algorithm (LSCMA) is a popular constant modulus algorithm (CMA) because of its global convergence and stability. But the performance will degrade when it is affected by the problem of interference capture in the MC-CDMA system that has several constant modulus signals. In order to overcome this shortage, a linearly constrained LSCMA multiuser detection algorithm is proposed by using the spreading code of the desired user to impose linear constraint on the LSCMA. The proposed algorithm ensures the algorithm convergence to the desired user. Thus the performance of the system is improved. The simulation results demonstrate that the proposed algorithm offers faster convergence rate and provides better output signal-to-interference-plus-noise-ratio (SINR) and bit error rate (BER) performance compared with the traditional LSCMA.
Similar content being viewed by others
References
Zhang X.D., Wei W. (2002) Blind adaptive multiuser detection based on Kalman filtering. IEEE Transactions on Signal Processing 50(1): 87–95
Wu Y., Gu J., Xu X., Yang J., Zhou S. (2004) Blind multiuser detection based on Chebyshev approximation. International Conference on Signal Processing 2: 1727–1730
de Lamare R.C., Sampaio-Neto R. (2006) Low-complexity variable step-size mechanisms for stochastic gradient algorithms in minimum variance CDMA receivers. IEEE Transactions on signal processing 54(6): 2302–2317
Wang X., Poor H.V. (1998) Blind multiuser detection: A subspace approach. IEEE Transactions on Information Theory 44(2): 677–690
Cai X., Ge H., Akansu A.N. (2002) Blind reduced-rank MMSE detector for DS-CDMA systems. Eurasip Journal on Applied Signal Processing 12: 1365–1376
Jia L.Q., Wang J.K., Liu Z.G., Xue Y.B. (2005) Adaptive multiuser detection algorithm based on subspace tracking. International Symposium on Antennas and Propagation 3: 1285–1288
Treichler J.R., Agee B.G. (1983) A new approach to multipath correction of constant modulus signals. IEEE Transactions on Acoustics, Speech, and Signal Processing 31(2): 459–472
Miguez J., Castedo L. (1998) A linearly constrained constant modulus approach to blind adaptive multiuser interference suppression. IEEE Communications Letters 2: 217–219
Xu C.J., Feng G.Z. (2000) Comments on a linearly constrained constant modulus approach to blind adaptive multiuser interference suppression. IEEE Communications Letters 4(9): 280–282
Agee B.G. (1986) The least squares CMA: a new technique for rapid correction of constant signals. International Conference on Acoustics, Speech, and Signal Processing 2: 953–956
de Lamare R.C., Sampaio-Neto R. (2005) Blind adaptive code-constrained constant modulus algorithms for cdma interference suppression in multipath channels. IEEE Communications Letters 9(4): 334–336
Sun, L. P., Bi, G. A., & Zhang, L. R. (2004). Fast converging blind adaptive multiuser detectors with linearly constrained CMA for DS/CDMA systems. International Symposium on Spread Spectrum Techniques and Applications, 155–159.
Sun L., Bi G., Zhang L. (2005) Blind adaptive multiuser detection based on linearly constrained DSE-CMA. IEE Proceedings-Communications 152(2): 737–742
Miyajima T. (2002) Blind adaptive detection using differential CMA for CDMA systems. Electronics and Communications in Japan, Part 3 (Fundamental Electronic Science) 85(1): 1–13
Hua W., Hanzo L. (2004) Semi-blind and group-blind multiuser detection for the MC-CDMA uplink. IEEE Vehicular Technology Conference 59: 1727–1731
Caamano A.J., Segovia-Vargas D., Ramos J. (2001) Blind adaptive Krylov subspace multiuser detection. IEEE Vehicular Technology Conference 4: 2338–2341
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Meng, Y., You, Ml., Luo, Hw. et al. The Linearly Constrained LSCMA for Blind Multi-user Detection. Wireless Pers Commun 53, 199–209 (2010). https://doi.org/10.1007/s11277-009-9679-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-009-9679-2