Multi-user PDF estimation based criteria for adaptive blind separation of discrete sources

This paper deals with criteria for adaptive blind separation of discrete sources. The criteria are based on the estimation of the probability density function (pdf) of the recovered signal using a parametric model and the divergence of Kullback-Leibler to measure the similarities between the involved signals. Two strategies that guarantee the recovering of all sources are employed: the first one introduces a penalty when the sources are correlated and the second one constrains the filtering to an orthogonal global system response. Simulations are carried out to evaluate the performance of the criteria compared with existing blind methods in typical multi-user environments such as spatial and space-time processing. (c) 2005 Elsevier B.V. All rights reserved.8551059107

Multiuser Processing Using Blind Source Separation Methods

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.197827836Paulraj, 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. 198-218Cavalcante, 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, AprilPapadias, 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, USACavalcante, 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. 1231-1233Cover, T.M., Thomas, J.A., (2006) Elements of Information Theory, , 2nd edn, John Wiley & Sons: Hoboken, NJ, USACavalcante, 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. 1059-1072Papadias, 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. 178-181Cavalcanti, F.R.P., Romano, J.M.T., Blind multiuser detection in space division multiple access systems (1999) Annales des Télécommunications, 54 (7-8), pp. 411-419van Trees, H.L., (2002) Optimum Array Processing, , Wiley-Interscience: New York, NY, USAJiang, 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. 41-46Paraschiv-Ionescu, A., Jutten, C., Bouvier, G., Source separation based processing for integrated hall sensor arrays (2002) IEEE Sensors Journal, 2 (6), pp. 663-673Chen, 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. 219-226Golub, G.H., Loan, C.F.V., (1996) Matrix Computations, , 3rd edn, The Johns Hopkins University Press: Baltimore, USACarleial, A.B., Hellman, M.E., Bistable behavior of ALOHA-type systems (1975) IEEE Transactions on Communications, 23, pp. 410-440Ghez, S., Verdú, S., Schwartz, S., Optimal decentralised control in the random access multipacket channel (1989) IEEE Transactions on Automatic Control, 34 (11), pp. 1153-1163Ward, J., Compton Jr., R.T., High throughput slotted ALOHA packet radio networks with adaptive arrays (1993) IEEE Transactions on Communications, 41 (3), pp. 460-470Cavalcanti, 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. 344-35