Artículos de revistas
Multiuser Processing Using Blind Source Separation Methods
Registro en:
European Transactions On Telecommunications. , v. 19, n. 7, p. 827 - 836, 2008.
1124318X
10.1002/ett.1327
2-s2.0-57349133836
Autor
Cavalcante C.C.
Filho D.Z.
Romano J.M.T.
Institución
Resumen
Multiuser Processing refers to a set of fundamental techniques for improving the performance of the modern wireless communications systems. Most of these techniques have been proposed and studied for specific scenarios, according to the multiple access technology to be employed. The theory and methods of blind source separation (BSS) can provide a more general framework over which multiuser techniques may be investigated and analysed as a particular case. This is the main idea to be exploited along the present paper. We show how this point of view opens perspectives to deal with important problems of multiuser systems such as signal detection and collision resolution. For this task, an information-theoretic based criterion and algorithm, issued from BSS theory, is presented together with an algorithm for estimation of the number of active users in the system. Simulation results are carried out to illustrate the performance of the designed approach, compared to other blind and trained solutions. Copyright © 2008 John Wiley & Sons, Ltd. 19 7 827 836 Paulraj, A.J., Gore, D.A., Nabar, R.U., Bölcskei, H., An overview of MIMO communications - a key to gigabit wireless (2004) Proceedings of the IEEE, 92 (2), pp. 198-218 Cavalcante, C.C., (2004) On blind source separation: Proposals and analysis of multi-user processing strategies, , PhD Thesis, State University of Campinas (UNICAMP)-DECOM, Campinas, SP-Brazil, April Papadias, C.B., (2000) Blind Separation of Independent Sources Based on Multiuser Kurtosis Optimization Criteria, 2, pp. 147-179. , chapter 4. John-Wiley & Sons: New York, NY, USA Cavalcante, C.C., Cavalcanti, F.R.P., Mota, J.C.M., Adaptive blind multiuser separation criterion based on log-likelihood maximisation (2002) IEE Electronics Letters, 38 (20), pp. 1231-1233 Cover, T.M., Thomas, J.A., (2006) Elements of Information Theory, , 2nd edn, John Wiley & Sons: Hoboken, NJ, USA Cavalcante, C.C., Romano, J.M.T., Multi-user pdf estimation based criteria for adaptive blind separation of discrete sources (2005) Signal Processing, 85 (5), pp. 1059-1072 Papadias, C.B., Paulraj, A.J., A constant modulus algorithm for multiuser signal separation in presence of delay spread using antenna array (1997) IEEE Signal Processing Letters, 4 (6), pp. 178-181 Cavalcanti, F.R.P., Romano, J.M.T., Blind multiuser detection in space division multiple access systems (1999) Annales des Télécommunications, 54 (7-8), pp. 411-419 van Trees, H.L., (2002) Optimum Array Processing, , Wiley-Interscience: New York, NY, USA Jiang, L., Cai, P., ling Wand, Y., Xu, D., A new source number estimation method based on the beam eigenvalue (2007) Journal of Marine Science and Application, 6 (1), pp. 41-46 Paraschiv-Ionescu, A., Jutten, C., Bouvier, G., Source separation based processing for integrated hall sensor arrays (2002) IEEE Sensors Journal, 2 (6), pp. 663-673 Chen, P., Wicks, M.C., Adve, R.S., Development of a statistical procedure for detecting the number of signals in a radar measurement (2001) IEE Proceedings-Radar, Sonar and Navigation, 148 (4), pp. 219-226 Golub, G.H., Loan, C.F.V., (1996) Matrix Computations, , 3rd edn, The Johns Hopkins University Press: Baltimore, USA Carleial, A.B., Hellman, M.E., Bistable behavior of ALOHA-type systems (1975) IEEE Transactions on Communications, 23, pp. 410-440 Ghez, S., Verdú, S., Schwartz, S., Optimal decentralised control in the random access multipacket channel (1989) IEEE Transactions on Automatic Control, 34 (11), pp. 1153-1163 Ward, J., Compton Jr., R.T., High throughput slotted ALOHA packet radio networks with adaptive arrays (1993) IEEE Transactions on Communications, 41 (3), pp. 460-470 Cavalcanti, F.R.P., Romano, J.M.T., Using adaptive array for collisiFabdon resolution in slotted ALOHA packet radio systems (2000) Journal of Communications and Networks, 2 (4), pp. 344-350