A Novel Efficient Cluster-Based MLSE Equalizer for Satellite Communication Channels with-QAM Signaling

In satellites, nonlinear amplifiers used near saturation severely distort the transmitted signal and cause difficulties in its reception. Nevertheless, the nonlinearities introduced by memoryless bandpass amplifiers preserve the symmetries of the-ary quadrature amplitude modulation (-QAM) constellation. In this paper, a cluster-based sequence equalizer (CBSE) that takes advantage of these symmetries is presented. The proposed equalizer exhibits enhanced performance compared to other techniques, including the conventional linear transversal equalizer, Volterra equalizers, and RBF network equalizers. Moreover, this gain in performance is obtained at a substantially lower computational cost.

[1]  Sergios Theodoridis,et al.  An efficient low-complexity technique for MLSE equalizers for linear and nonlinear channels , 2003, IEEE Trans. Signal Process..

[2]  Barry G. Evans,et al.  Satellite communication systems , 1999 .

[3]  J. Minkoff Wideband operation of nonlinear solid-state power amplifiers — Comparisons of calculations and measurements , 1984, AT&T Bell Laboratories Technical Journal.

[4]  Fuqin Xiong Modem techniques in satellite communications , 1994 .

[5]  D. Chakraborty,et al.  Maximum likelihood sequence detection in nonlinear satellite channels , 1981, IEEE Communications Magazine.

[6]  Sheng Chen,et al.  Adaptive Bayesian equalizer with decision feedback , 1993, IEEE Trans. Signal Process..

[7]  V. J. O H N M A T H Adaptive Polynomial Filters , 2022 .

[8]  William E. Ryan,et al.  Performance of Volterra and MLSD receivers for nonlinear band-limited satellite systems , 2000, IEEE Trans. Commun..

[9]  Lajos Hanzo,et al.  Adaptive Wireless Transceivers , 2002 .

[10]  M. Wittig,et al.  Satellite onboard processing for multimedia applications , 2000, IEEE Commun. Mag..

[11]  Mohamed Ibnkahla,et al.  A neural network MLSE receiver based on natural gradient descent: application to satellite communications , 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

[12]  Saleem A. Kassam,et al.  Channel Equalization Using Adaptive Complex Radial Basis Function Networks , 1995, IEEE J. Sel. Areas Commun..

[13]  G. David Forney,et al.  Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference , 1972, IEEE Trans. Inf. Theory.

[14]  B. Mulgrew,et al.  Complex-valued radial basis function network, Part II: Application to digital communications channel equalisation , 1994, Signal Process..

[15]  Daniel Roviras,et al.  Predistortion of non-linear satellite channels using neural networks: Architecture, algorithm and implementation , 2002, 2002 11th European Signal Processing Conference.

[16]  Steve Rogers,et al.  Adaptive Filter Theory , 1996 .

[17]  R. Steele,et al.  Mobile Radio Communications , 1999 .

[18]  Mohamed Ibnkahla,et al.  A combined LMS-SOM algorithm for time-varying non-linear channel equalization , 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

[19]  Po-Rong Chang,et al.  Adaptive Decision Feedback Equalization for Digital Satellite Channels Using Multilayer Neural Networks , 1995, IEEE J. Sel. Areas Commun..

[20]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[21]  B.J. Mangus,et al.  TWTA versus SSPA: a comparison of on-orbit reliability data , 2005, IEEE Transactions on Electron Devices.

[22]  Daniel Roviras,et al.  Equalization of satellite UMTS channels using neural network devices , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[23]  D. Roviras,et al.  Mixed analog/digital implementation of MLP NN for predistortion , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[24]  Adel A. M. Saleh,et al.  Frequency-Independent and Frequency-Dependent Nonlinear Models of TWT Amplifiers , 1981, IEEE Trans. Commun..

[25]  Sergio Benedetto,et al.  Nonlinear Equalization of Digital Satellite Channels , 1982, IEEE J. Sel. Areas Commun..

[26]  C.F.N. Cowan,et al.  Adaptive equalization of finite nonlinear channels using multilayer perceptron , 1990 .

[27]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[28]  Sergio Benedetto,et al.  Digital Transmission Theory , 1987 .

[29]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[30]  G. L. Grisdale,et al.  Satellite Communication Systems Technology , 1975 .

[31]  Ahmed Iyanda Sulyman,et al.  High-speed satellite mobile communications: technologies and challenges , 2004, Proceedings of the IEEE.

[32]  Daniel Roviras,et al.  Equalisation of satellite mobile channels with neural network techniques , 1999, Space Commun..

[33]  Sheng Chen,et al.  Complex Valued Radial Basis Function Network: Network Architecture and Learning Algorithms (part I) , 1994 .

[34]  S. Benedetto,et al.  Modeling and Performance Evaluation of Nonlinear Satellite Links-A Volterra Series Approach , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[35]  William E. Ryan,et al.  Performance of adaptive Volterra equalizers on nonlinear satellite channels , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[36]  Daniel Roviras,et al.  Equalization of satellite mobile communication channels using combined self-organizing maps and RBF networks , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[37]  Barry G. Evans,et al.  Integration of satellite and terrestrial systems in future multimedia communications , 2005, IEEE Wireless Communications.

[38]  C. Rapp,et al.  Effects of HPA-Nonlinearity on a 4-DPSK/OFDM-Signal for a Digital Sound Broadcasting System. , 1991 .

[39]  Sergios Theodoridis,et al.  A novel cluster based MLSE equalizer for 2-PAM signaling scheme , 2002, 2002 11th European Signal Processing Conference.

[40]  Lajos Hanzo,et al.  Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA and OFDM Systems , 2002 .

[41]  D. Roviras,et al.  Comparison of neural network adaptive predistortion techniques for satellite down links , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[42]  James R. Stuart,et al.  Satellite communication system , 2000 .

[43]  Allen Gersho,et al.  Adaptive Cancellation of Nonlinear Intersymbol Interference for Voiceband Data Transmission , 1984, IEEE Journal on Selected Areas in Communications.

[44]  A. V. Vasilakos,et al.  Mobile Radio Communications, 2nd ed. , 2001 .

[45]  A. Berman,et al.  Nonlinear Phase Shift in Traveling-Wave Tubes as Applied to Multiple Access Communications Satellites , 1970 .