Data Predistortion for Multicarrier Satellite Channels Based on Direct Learning

Satellite communication is facing the urgent need of improving data rate and efficiency to compete with the quality of service offered by terrestrial communication systems. An imminent gain, achievable without the need of upgrading current satellite technology, can be obtained by exploiting multicarrier operation at the transponder and using highly efficient modulation schemes. However, on-board multicarrier joint amplification of high order modulation schemes is a critical operation as it brings severe non-linear distortion effects. These distortions increase as the on-board High Power Amplifier (HPA) is operated to yield higher power efficiencies. In this work, we propose novel techniques to implement on ground predistortion that enable multicarrier transmission of highly efficient modulation schemes over satellite channels without impacting infrastructure on the downlink.

[1]  Björn E. Ottersten,et al.  Data predistortion for multicarrier satellite channels using orthogonal memory polynomials , 2013, 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[2]  Stefano Cioni,et al.  Multicarrier Digital Pre-distortion/ EqualizationTechniques for Non-linear Satellite Channels , 2012 .

[3]  Risto Wichman,et al.  Adaptive Piecewise Linear Predistorters for Nonlinear Power Amplifiers With Memory , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  Björn E. Ottersten,et al.  Non-parametric data predistortion for non-linear channels with memory , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  Bassel F. Beidas,et al.  Intermodulation Distortion in Multicarrier Satellite Systems: Analysis and Turbo Volterra Equalization , 2011, IEEE Transactions on Communications.

[6]  R. Crutchfield,et al.  Digital satellite communications , 1979, Proceedings of the IEEE.

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

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

[9]  Monson H. Hayes,et al.  Statistical Digital Signal Processing and Modeling , 1996 .

[10]  Riccardo De Gaudenzi,et al.  DVB‐S2 modem algorithms design and performance over typical satellite channels , 2004, Int. J. Satell. Commun. Netw..

[11]  Hikmet Sari,et al.  A data predistortion technique with memory for QAM radio systems , 1991, IEEE Trans. Commun..

[12]  R. de Figueiredo.  The Volterra and Wiener theories of nonlinear systems , 1982, Proceedings of the IEEE.

[13]  Olivier Venard,et al.  On the system level convergence of ILA and DLA for digital predistortion , 2012, 2012 International Symposium on Wireless Communication Systems (ISWCS).

[14]  F. M. Ghannouchi,et al.  2-D Digital Predistortion (2-D-DPD) Architecture for Concurrent Dual-Band Transmitters , 2011, IEEE Transactions on Microwave Theory and Techniques.

[15]  Edward J. Powers,et al.  A new Volterra predistorter based on the indirect learning architecture , 1997, IEEE Trans. Signal Process..

[16]  Dennis R. Morgan,et al.  A robust digital baseband predistorter constructed using memory polynomials , 2004, IEEE Transactions on Communications.

[17]  Sheng Chen.  An Efficient Predistorter Design for Compensating Nonlinear Memory High Power Amplifiers , 2011, IEEE Transactions on Broadcasting.

[18]  Dayong Zhou,et al.  Novel Adaptive Nonlinear Predistorters Based on the Direct Learning Algorithm , 2007, IEEE Transactions on Signal Processing.

[19]  Raviv Raich,et al.  A Hammerstein predistortion linearization design based on the indirect learning architecture , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[20]  Rohit Iyer Seshadri,et al.  Analysis and compensation for nonlinear interference of two high-order modulation carriers over satellite link , 2010, IEEE Transactions on Communications.

[21]  V. J. Mathews,et al.  Polynomial Signal Processing , 2000 .