Iterative Frequency Domain Equalization With Generalized Approximate Message Passing

An iterative frequency domain equalization approach for coded single-carrier block transmissions over frequency selective channels is developed by using the recently proposed generalized approximate message passing (GAMP) algorithm. Compared with the low-complexity iterative frequency domain linear minimum mean square error (FD-LMMSE) equalization, the proposed approach can achieve significant performance gain with slight complexity increase.

[1]  Alain Glavieux,et al.  Iterative correction of intersymbol interference: Turbo-equalization , 1995, Eur. Trans. Telecommun..

[2]  Alain Glavieux,et al.  Iterative correction of intersymbol interference : turbo-equalization : Iterative and Turbo decoding , 1995 .

[3]  H. Vincent Poor,et al.  Iterative (turbo) soft interference cancellation and decoding for coded CDMA , 1999, IEEE Trans. Commun..

[4]  Alain Glavieux,et al.  Turbo equalization: adaptive equalization and channel decoding jointly optimized , 2001, IEEE J. Sel. Areas Commun..

[5]  Andrew C. Singer,et al.  Turbo equalization: principles and new results , 2002, IEEE Trans. Commun..

[6]  David Falconer,et al.  Frequency domain equalization for single-carrier broadband wireless systems , 2002, IEEE Commun. Mag..

[7]  Andrew C. Singer,et al.  Minimum mean squared error equalization using a priori information , 2002, IEEE Trans. Signal Process..

[8]  R. Koetter,et al.  Turbo equalization , 2004, IEEE Signal Processing Magazine.

[9]  Rui Dinis,et al.  A Turbo FDE Technique for Reduced-CP SC-Based Block Transmission Systems , 2007, IEEE Transactions on Communications.

[10]  Li Ping,et al.  LMMSE turbo equalization based on factor graphs , 2008, IEEE Journal on Selected Areas in Communications.

[11]  Hong Liu,et al.  Iterative frequency-domain channel estimation and equalization for single-carrier transmissions without cyclic-prefix , 2008, IEEE Trans. Wirel. Commun..

[12]  Li Ping,et al.  A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels , 2009, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[13]  M. Stojanovic,et al.  Underwater Acoustic Communications: Design Considerations on the Physical Layer , 2008, 2008 Fifth Annual Conference on Wireless on Demand Network Systems and Services.

[14]  Andrea Montanari,et al.  Message-passing algorithms for compressed sensing , 2009, Proceedings of the National Academy of Sciences.

[15]  Andrea Montanari,et al.  The dynamics of message passing on dense graphs, with applications to compressed sensing , 2010, 2010 IEEE International Symposium on Information Theory.

[16]  Andrea Montanari,et al.  Message passing algorithms for compressed sensing: I. motivation and construction , 2009, 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo).

[17]  Sundeep Rangan,et al.  Generalized approximate message passing for estimation with random linear mixing , 2010, 2011 IEEE International Symposium on Information Theory Proceedings.

[18]  Defeng Huang,et al.  A Concise Representation for the Soft-in Soft-out LMMSE Detector , 2011, IEEE Communications Letters.

[19]  Philip Schniter,et al.  A Message-Passing Receiver for BICM-OFDM Over Unknown Clustered-Sparse Channels , 2011, IEEE Journal of Selected Topics in Signal Processing.

[20]  Sundeep Rangan,et al.  Belief Propagation Methods for Intercell Interference Coordination in Femtocell Networks , 2012, IEEE Journal on Selected Areas in Communications.