1,720,992 research outputs found
On Adaptive Lcmv Beamforming For Multiuser Processing In Wireless Systems
No full textMultiuser processing, using an antenna array, has emerged as a suitable solution for capacity increase in wireless systems. The use of an antenna array reduces the multiuser interference, allowing two or more users to share systems resources in an efficient way. The use of a Linearly Constrained Minimum Variance (LCMV) criterion to optimize the antenna array weights has been proved to be a good solution for multiuser processing. This work presents an unified view of LCMV beamforming, including a solution that avoids direction of arrival (DOA) estimation and is able to cope with angular spread. An adaptive versions of the resulting technique is also presented. Moreover, we evaluate the performance of the proposed techniques in non-zero angular spread and non-stationary environments. The results provide an overview of the potential of LCMV techniques in multiuser wireless communication systems. © 2007 IEEE.521525Filho, D.Z., Cavalcante, C.C., Romano, J.M.T., Resende, L.S., An LCMV-Based Approach for Downlink Beamforming in FDD Systems in Presence of Angular Spread (2002) EUSIPCO 2002, , Toulouse, France, SeptemberFilho, D.Z., Cavalcante, C.C., Romano, J.M.T., Adaptive LCMV Beamforming Avoiding DOA Estimation for Packet-like Wireless Systems (2002) IEEE International Telecommunications Symposium (ITS'2002), , Natal-RN, Brazil, SeptemberZetterberg, P., Mobile cellular communications with base station antenna arrays: Spectrum efficiency, algorithms and propagation models, (1997), Ph.D. dissertation, Royal Institute of Technology, Stockholm, SwedenFrost III, O.L., An Algorithm for Linearly Constrained Adaptive Array Processing (1972) Proceedings of the IEEE, 60 (8), pp. 926-935. , AugustBuckley, K.M., Spatial/Spectral Filtering with Linearly Constrained Minimum Variance Beamformers (1987) IEEE Trans. on ASSP, 35 (3), pp. 249-275. , MarchResende, L.S., Romano, J.M.T., Bellanger, M.G., A Fast Least-Squares Algorithm for Linearly Constrained Adaptive Filtering (1996) IEEE Trans. on Signal Processing, 44 (5), pp. 1168-1174. , MayHaykin, S., (1996) Adaptive Filter Theory, , 3rd ed. Prentice HallCavalcanti, F.R.P., Smart Antennas and Space-Time Processing for Wireless Communication Systems, (1999), Ph.D. dissertation, State University of Campinas UNICAMP, Campinas, SP, Brazil, Jul
Multiuser Processing Using Blind Source Separation Methods
No full textMultiuser 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
A Novel Approach For Spectral Analysis Of Monitored Power Systems
No full textThis paper presents a novel approach that combines the adaptive and non-adaptive notch filters, multilayer perceptron neural network, and warped discrete Fourier transform (WDFT) to estimate amplitudes, frequencies and phases of the fundamental and harmonic components in power systems. Simulation results show that only 1.25 cycles of the fundamental component are enough to provide small frequency, phase and amplitude error estimations. ©2004 IEEE.255259Arrillaga, J., Bollen, M.H.J., Watson, N.R., Power quality following deregulation (2000) Proceedings of the IEEE, 88 (2), pp. 246-261. , FebMelhorn, C., McGranaghan, M.F., Interpretation and analysis of power quality measurements (1995) IEEE Trans. on Industry Applications, 31 (6), pp. 1363-1370. , Nov./DecBollen, M.H.J., (2000) Power Quality Problems: Voltage Sags and Interruptions, , IEEE Press, NJ(1995) IEEE Recommended Practice for Monitoring Electric Power Quality, pp. 1159-1995. , IEEE StandardKhan, A.K., Monitoring power for the future (2001) Power Engineering Journal, 15 (2), pp. 81-85. , AprRibeiro, M.V., Duque, C.A., Romano, J.M.T., An improved method for signal processing and compression in power quality evaluation (2004) IEEE Trans. on Power Delivery, 19 (2), pp. 464-471. , AprWon, D.-J., Chung, I.-Y., Kim, J.-M., Moon, S.-I., Seo, J.-C., Choe, J.-W., Development of power quality monitoring system with central processing scheme (2002) Proc. IEEE Power Engineering Society Summer Meeting, pp. 915-919. , JulGhartemani, M.K., Iravani, M.R., A signal processing module for power system applications (2003) IEEE Trans. on Power Delivery, 18 (4), pp. 1118-1126. , OctRoutray, A., Pradhan, A.K., Rao, K.P., A novel Kalman filter for frequency estimation of distorted signals in power systems (2002) IEEE Trans. on Instr. and Measurement, 51 (3), pp. 469-479. , JunGharieb, R.R., Higher order statistics based IIR notch filtering scheme for enhancing sinusoids in coloured noise (2000) IEE Proc.-vis. Image Signal Processing, 147 (2), pp. 115-121. , AprFranz, S., Mitra, S.K., Doblinger, G., Frequency estimation using warped discrete fourier transform (2003) Signal Processing, 83, pp. 1661-1671Mitra, S.K., (2001) Digital Signal Processing: A Computer-based Approach, 2nd Edition, , McGraw-HillMarkur, A., Mitra, S.K., Warped discrete Fourier transform: Theory and applications (2001) IEEE Trans. Circuits and Systems-1: Fundamental Theory and Applications, 48 (9), pp. 1086-1093. , SeptMitra, S.K., Bagchi, S., (1999) The Nonuniform Discrete Fourier Transform and Its Applications in Signal Processing, , Kluwer Academic PublishersMoore, P.J., Português, I.E., The influence of personal computer processing mode on line current harmonics (2003) IEEE Trans. on Power Delivery, 18 (4), pp. 1363-1587. , OctRibeiro, M.V., Barbedo, J.G.A., Romano, J.M.T., Lopes, A., Fourier-lapped-multilayer perceptron (FLMLP) method for speech quality assessment (2003) EURASIP Journal on Applied Signal Processing, Special Issue on Anthropomorphic Processing of Audio and Speech, , submitte
Blind Channel Shortening For Simo Space-time Channels Using Linear Prediction In Ofdm Systems
No full textIn this paper, we make use of a blind adaptive linear predictor for channel shortening in single input multiple output (SIMO) channels. We compare our approach to the so-called MERRY blind channel shortener. We assess through simulations that our proposed approach provides faster convergence rate and it better exploits the spatio-temporal diversity present in the SIMO channels. © 2006 SBrT.783788Haykin, S., (1994) Blind Deconvolution, , Prentice-HallBalakrishnan, J., Martin, R.K., Johnson Jr., C.R., Blind, adaptive channel shortening by sum-squared auto-correlation minimumization (SAM) (2003) IEEE Transactions on Signal Processing, 51 (12), pp. 3086-3093. , DecMartin, R.K., Balakrishnan, J., Sethares, W.A., Johnson Jr., C.R., Blind, adaptive channel shortening for multicarrier systems (2002) Proc. IEEE Asilomar Conf. Signals, Syst., Comput, , Pacific Grove, CA, NovMartin, R.K., Johnson Jr., C.R., Adaptive equalization: Transitioning from single-carrier to multicarrier systems (2005) Signal Processing Magazine, 22 (6). , NovGardner, W.A., Exploitation of Spectral Redundancy in Cyclostationary Signals (1991) IEEE Signal Processing Magazine, 8, pp. 14-36. , AprilPapadias, C.B., Slock, D.T.M., Fractionally Spaced Equalization of Linear Polyphase Channels and Related Blind Techniques Based on Linear Prediction (1999) IEEE Transactions on Signal Processing, 47 (3), pp. 641-654. , MarchCastro, M.S., Romano, J.M.T., Adaptive Approaches for Blind Equalization Based on Multichannel Linear Prediction (2002) International Telecommunications Symposium, , Natal, BrasilArslan, G., Evans, B.L., Kiaei, S., Equalization for discrete multitone transceivers to maximize bit rate (2001) IEEE Transactions on Signal Processing, 49 (12), pp. 3123-3135. , DecMartin, R.K., Walsh, J.M., Johnson Jr., C.R., Low complexity MIMO blind, adaptive channel shortening (2005) IEEE Trans. Signal Processing, 53 (4), pp. 1324-1334. , AprMiyajima, T., Zhi, D., Second-order statistical approaches to channel shortening in multicarrier systems (2004) IEEE Transactions on Signal Processing, 52 (11), pp. 3253-3264. , NovBartolome, D., Perez-Neira, A.I., MMSE techniques for space diversity receivers in OFDM-based wireless LANs (2003) Selected Areas in Communications, IEEE Journal on, 21 (2), pp. 151-160. , Fe
Impact Of Higher-order Statistics On Adaptive Algorithms For Blind Source Separation
No full textThe paper is devoted to present an analysis of the impact of higher order statistics (HOS) in adaptive blind source separation criteria. Despite the well known fact that they are necessary to provide source separation in a general framework, their impact on the performance of adaptive solutions is a still open research field. The approach of probability density function (pdf) recovering is used. In order to verify the analysis, two constrained adaptive algorithms are investigated. Namely, the multiuser kurtosis algorithm (MUK) and the multiuser constrained fitting probability density function algorithm (MU-CFPA) are used due to the desired characteristics of different HOS involved in their design. Simulation results are carried out to basis our analysis. © 2004 IEEE.170174Hyvärinen, A., Oja, E., Independent component analysis: Algorithms and applications (2000) Neural Networks, 13 (4-5), pp. 411-430Hérault, J., Jutten, C., Ans, B., Détection de grandeurs primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage non supervisé (1985) Actes du Xéme Colloque GRETSI, pp. 1017-1022. , Nice, France, MaiPapadias, C.B., Globally convergente blind source separation based on a multiuser kurtosis maximization criterion (2000) IEEE Transactions on Signal Processing, 48 (12), pp. 3508-3519. , DecemberHaykin, S., (2000) Unsupervised Adaptive Filtering, Ser. (Series on Adaptive and Learning Systems for Signal Processing, Communications and Control), 1. , John Wiley & Sons: Source SeparationDonoho, D., (1981) On Minimum Entropy Deconvolution, pp. 565-608. , Academic PressComon, P., Independent component analysis: A new concept? (1994) Signal Processing, 36 (3), pp. 287-314. , AprilPapadias, 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. , JunePapadias, C.B., (2000) Blind Separation of Independent Sources Based on Multiuser Kurtosis Optimization Criteria, 2, pp. 147-179. , John-Wiley & Sons, ch. 4Cavalcante, C.C., Cavalcanti, F.R.P., Mota, J.C.M., Romano, J.M.T., A constrained version of fitting PDF algorithm for blind source separation (2003) Proceeding of IEEE Signal Processing Advances for Wireless Communications (SPAWC 2003), , Rome, Italy, June, 15-18Benveniste, A., Goursat, M., Ruget, G., Robust identification of a nonminimum phase system: Blind adjustment of a linear equalizer in data communications (1980) IEEE Transactions on Automatic Control, AC-25 (3), pp. 385-399. , JuneNadal, J.-P., Parga, N., Redundancy reduction and independent component analysis: Conditions on cumulants and adaptive approaches (1997) Neural Computation, 9, pp. 1421-1456Shalvi, O., Weinstein, E., New criteria for blind deconvolution of nonminimum phase systems (channels) (1990) IEEE Transactions on Information Theory, 36 (2), pp. 312-321. , MarchHaykin, S., (1998) Neural Networks: A Comprehensive Foundation, 2nd Ed., , Prentice HallLacoume, J.-L., Amblard, P.-O., Comon, P., (1997) Statistiques d'Ordre Supérieur pour le Traitement du Signal, , ser. (Traitement du Signal). Paris: MassonCavalcante, C.C., (2001) Neural Prediction and Probability Density Function Estimation Applied to Blind Equalization, , Master's thesis, Federal University of Ceará (UFC), Fortaleza-CE, Brasil, FebruaryCavalcante, 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. , SeptemberHaykin, S., (2000) Unsupervised Adaptive Filtering, , ser. (Series on Adaptive and Learning Systems for Signal Processing, Communications and Control). John Wiley & Sons, vol. II: Blind DeconvolutionCavalcante, C.C., Cavalcanti, F.R.P., Mota, J.C.M., A PDF estimation-based blind criterion for adaptive equalization (2002) Proceedings of IEEE Int. Symposium on Telecommunications (ITS 2002), , Natal, Brazil, SeptemberBishop, C.M., (1995) Neural Networks for Pattern Recognition, , UK: Oxford University Pres
Mlp-based Equalization And Pre-distortion Using An Artificial Immune Network
No full textDue to its universal approximation capability, the multilayer perceptron (MLP) neural network has been applied to several function approximation and classification tasks. Despite its success in solving these problems, its training, when performed by a gradient-based method, is sometimes hindered by the existence of unsatisfactory solutions (local minima). In order to overcome this difficulty, this paper proposes a novel approach to the training of a MLP based on a simple artificial immune network model. The application domain for assessing the performance of the proposed technique is that of digital communications, in particular, the problems of channel equalization and pre-distortion. The obtained simulation results demonstrate that the proposal is capable of efficiently solving the problems tackled. © 2005 IEEE.177182Doering, A., Galicki, M., Witte, H., Structure optimization of neural networks with the a*-algorithm (1997) IEEE Transactions on Neural Networks, 8 (6), pp. 1434-1445Yao, X., Evolutionary artificial neural networks (1995) Encyclopedia of Computer Science and Technology, 33, pp. 137-170. , A. Kent and J. G. Williams, editors, Marcel Dekker Inc., New YorkGudise, V.G., Venayagamoorthy, G.K., Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks (2003) Proceedings of the IEEE Swarm Intelligence Symposium 2003 (SIS 2003), pp. 110-117. , Indianapolis, Indiana, USADe Castro, L.N., Timmis, J.I., (2002) Artificial Immune Systems: A New Computational Intelligence Approach, , Springer-Verlag, LondonChen, S., Mulgrew, B., Grant, P.M., A clustering technique for digital communications channel equalization using radial basis function networks (1993) IEEE Trans, on Neural Networks, 4 (4), pp. 570-579Haykin, S., (1998) Neural Networks: A Comprehensive Foundation, , Prentice HallIbnkahla, M., Neural network predistortion technique for digital satellite communications (2000) Proceedings of ICASSP, 6, pp. 5-9. , JuneDe Castro, L.N., Timmis, J.I., Artificial immune systems as a novel soft computing paradigm (2003) Soft Computing Journal, 7 (8), pp. 526-544De Attux, R.R.F., Loiola, M.B., Suyama, R., De Castro, L.N., Von Zuben, F.J., Romano, J.M.T., Blind search for optimal wiener equalizers using an artificial immune network model (2003) EURASIP Journal of Applied Signal Processing, 2003 (8), pp. 740:747De Attux, R.R.F., De Castro, L.N., Von Zuben, F.J., Romano, J.M.T., A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network (2003) Proceedings of the IEEE NNSP, , Toulouse, FranceDe Castro, L.N., Von Zuben, F.J., A hybrid paradigm for weight initialization in supervised feedforward neural network learning (1998) ICS-Workshop on Artificial Intelligence, pp. 30-37. , Tainan, Taiwan, DecemberBattiti, R., First- and second-order methods for learning: Between steepest descent and Newton's method (1992) Neural Computation, 4 (2), pp. 141-16
Polynomial Expansion Of The Probability Density Function About Gaussian Mixtures
No full textA polynomial expansion to probability density function (pdf ) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Parzen estimator to derive an orthonormal basis that is able to represent the characteristics of probability distributions that are not concentrated in the vicinity of the mean point such as the Gaussian pdf. The blind source separation problem is used to illustrate the applicability of the proposal in practical analysis of the dynamics of the recovered data pdf estimation. Simulations are carried out to illustrate the analysis. © 2004 IEEE.163172Cavalcante, C.C., (2004) On Blind Source Separation: Proposals and Analysis of Multi-user Processing Strategies, , Ph.D. thesis, State University of Campinas (UNICAMP) - DECOM, Campinas, SP - Brazil, AprilCavalcante, C.C., Cavalcanti, F.R.P., Mota, J.C.M., Romano, J.M.T., A Constrained version of fitting PDF algorithm for blind source separation (2003) Proceeding of IEEE Signal Processing Advances for Wireless Communications (SPAWC 2003), , Rome, Italy, June, 15-18Haykin, S., (1998) Neural Networks: A Comprehensive Foundation, , Prentice Hall, 2nd ednHyvärinen, A., Oja, E., Karhunen, J., (2001) Independent Component Analysis, , John Wiley & SonsLacoume, J.-L., Amblard, P.-O., Comon, P., (1997) Statistiques D'Ordre Supérieur Pour le Traitement du Signal, , (Traitement du Signal), Paris: MassonLaster, J.D., (1997) Robust GMSK Demodulation Using Demodulator Diversity and BER Estimation, , Ph.D. thesis, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia, MarchNikias, C.L., Petropulu, A.P., (1993) Higher-order Spectra Analysis, , Prentice HallPapadias, C.B., (2000) Blind Separation of Independent Sources Based on Multiuser Kurtosis Optimization Criteria, 2, pp. 147-179. , John-Wiley & Sons, chap. 4Papoulis, A., (1991) Probability, Random Variables and Stochastic Processes, , (Electrical & Electronic Engineering Series), McGraw-Hill International, 3rd ednParzen, E., On estimation of a probability density function and mode (1962) The Annals of Mathematical Statistics, 33 (3), pp. 1066-1076. , SeptemberSilverman, B.W., (1986) Density Estimation for Statistics and Data Analysis, , (Monographs on Statistics and Applied Probability), Bristol, Great Britain: Chapman and HallTherrien, C.W., (1992) Discrete Random Signals and Statistical Signal Processing, , (Prentice-Hall Signal Processing Series), Prentice-Hall InternationalWegman, E.J., Nonparametric probability density estimation: I. A summary of available methods (1972) Technometrics, 14 (3), pp. 533-546. , Augus
An Evolutive Algorithm For Blind Adaptive Beamforming In Gps Applications
No full textIn this work we propose an alternative approach to the problem of digital beamforming. We employ an evolutive algorithm, named opt-aiNet, to optimize the directed-decision (DD) criterion, a well-known equalization criterion, in order to determine the optimal coefficients of the antenna array. The approach is applied to a GPS application scenario, where the multimodal search capability of the opt-aiNet algorithm is used to simultaneously find the coefficient vectors that capture the signals coming from all the visible satellites. © 2004 IEEE.715724Attux, R.R.D.F., Loiola, M.B., Suyama, R., De Castro, L.N., Zuben, F.J.V., Romano, J.M.T., Blind seach for optimal wiener equalizers using an artificial immune network model (2003) EURASIP Journal on Applied Signal Processing, Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis, 2003 (8), pp. 740-747. , JulyBalanis, A.C., (1982) Antenna Theory Analysis and Design, , New York: KHarper & RowBurnet, F.M., (1959) The Clonal Selection Theory of Acquired Immunity, , Cambridge University PressDe Castro, L.N., Timmis, J., An artificial immune network for multimodal function optimization (2002) Proceedings of the IEEE Congress of Evolutionary Computation, 1, pp. 699-704. , Honolulu, HawaiiHaykin, S., (1994) Blind Deconvolution, , New Jersey: Prentice HallJerne, N.K., Towards a network theory of the immune system (1974) Ann. Immunol. (Inst. Pasteur), 125 C, pp. 373-389Junqueira, C.C.M., (2003) Schemes and Algorithms for Adaptive Arrays Applied to GPS, , Ph.D. Thesis (in Portuguese), School of Electrical and Computer Engineering (FEEC), State University of Campinas, BrazilLitva, J., Lo, T.Y., (1996) Digital Beamforming in Wireless Communications, , Norwood: Artech HouseLucky, R.W., Techniques for adaptive equalization of digital communications systems (1966) Bell System Technical Journal, 45, pp. 255-286Nossal, G.J.V., The molecular and cellular basis of affinity maturation in the antibody response (1993) Cell, 68 (1), pp. 1-2Parkinson, B.W., Spilker, J., Global positioning system: Theory and applications (1996) Progress in Astronautics and Aeronautics, 163. , American Institute of Aeronautics and Astronautics - AIA
A Proposal For Blind Fir Equalization Of Time-varying Channels
No full textThe multimodal and time-varying aspects of blind equalization problems in communication systems are treated here by means of an immune-inspired strategy capable of estimating the coefficients of the FIR equalization filter in an unsupervised manner. The associated optimization problem is solved by means of a population-based search technique characterized by a dynamic control of the population size and diversity maintenance. Static and time-varying channels have been proposed in simulated scenarios, aiming at indicating the tracking capability derived from the adaptive adjustment of the coefficients of the blind equalizer. © 2005 IEEE.914Arenas-Garcia, J., Gómes-Verdejo, V., Martínez-Ramon, M., Filgueiras-Vidal, A.R., Separate-variable adaptive combination of LMS adaptive filters for plant identification (2003) Proceedings of the IEEE XIII Workshop on Neural Network for Signal Processing, pp. 239-248. , ToulouseAttux, R.R.F., Loiola, M.B., Suyama, R., De Castro, L.N., Von Zuben, F.J., Romano, J.M.T., Blind search for optimal wiener equalizers using an artificial immune network model (2003) EURASIP Journal on Applied Signal Processing, 8, pp. 740-747Benveniste, A., Goursat, M., Blind equalizers (1984) IEEE Trans. on Communications, COM-32 (8), pp. 871-883De Castro, L.N., Timmis, J., (2002) Artificial Immune Systems: A New Computational Intelligence Approach, , Springer-VerlagDe Castro, L.N., Timmis, J., An artificial immune network for multimodal function optimization (2002) Proceedings of the IEEE Congress on Evolutionary Computation, 1, pp. 699-1674. , HawaiiDe França, F.O., Von Zuben, F.J., De Castro, L.N., An artificial immune network for multimodal function optimization on dynamic environments (2005) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 1, pp. 289-296. , Washington D.C., JuneGaspar, A., Collard, P., From GAs to artificial immune systems: Improving adaptation in time dependent optimization (1999) Proceedings of the Congress on Evolutionary Computation (CEC), pp. 1859-1866. , Washington D.CHaykin, S., (1996) Adaptive Filter Theory. 3rd Ed., , Prentice HallHaykin, S., The blind deconvolution problem (1994) Blind Deconvolution, , Haykin, S. (ed.), Prentice-HallJohnson Jr., C.R., Anderson, B.O., Godard blind equalisation surface characteristics: White, zero-mean binary source case (1995) Int. Journal of Adaptive Control and Signal Processing, 9, pp. 301-324Suyama, R., Attux, R.R.F., Romano, J.M.T., Bellanger, M., Relations entre les critère du module constant et de Wiener (2003) Proc. of the GRETSI Symp. on Signal and Image Processing, , Sep., ParisWalker, J., Garrett, S., (2003) Dynamic Function Optimisation: Comparing the Performance of Clonal Selection and Evolutionary Strategies, pp. 273-284. , Lecture Notes in Computer Science 2787. Edinburg
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