Simple iterative receivers for MIMO LP-OFDM systems

In this paper,Lp-ofdm is combined with differentMimo schemes in order to improve performance in terms of diversity gain and to exploit capacity brought by theMimo channel. The original contribution is the development of a generic iterative receiver designed forLp mimo transmission able to work whatever the antenna configuration and the spatial coding scheme. By using a globalMmse criterion, interference terms coming from space-time coding and linear precoding are jointly treated leading to a very good trade-off between performance and complexity compared to trellis based detectors particularly for high order modulations, high number of antennas and/or large size of precoding matrices.RésuméDans cet article, le précodage linéaire est associé à différents schémas multi-antennes dans un contexteOfdm afin d’améliorer les performances en termes d’exploitation de diversité et de capacité offertes par les canaux multi-antennes. La contribution originale est de proposer un récepteur itératif générique pour schémasLp-mimo pouvant s’adapter à n’importe quelle configuration d’antennes et de codage spatio-temporel. Les termes d’interférence qui proviennent du précodage linéaire et du codage spatio-temporel sont traités conjointement en utilisant un critère de minimisation de l’erreur quadratique moyenne globale. Le récepteur obtenu permet d’obtenir un très bon compromis entre les performances et la complexité de mise en ?uvre comparé à des détecteurs à base de treillis en particulier pour les modulations à nombre d’états élevé, des systèmes à plusieurs antennes d’émission et de réception et/ou des grandes tailles de matrice de précodage.

[1]  Xiaodong Wang,et al.  Low-complexity Turbo-equalization for diversity channels , 2001, Signal Process..

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

[3]  Claude Berrou,et al.  Linear precoding with low complexity MMSE turbo-equalization and application to the wireless LAN system , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[4]  Maryline Helard,et al.  Efficient iterative receiver for spatial multiplexed OFDM system over time and frequency selective channels , 2005 .

[5]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[6]  Takahiro Asai,et al.  A matched filter approximation for SC/MMSE iterative equalizers , 2001, IEEE Communications Letters.

[7]  Maryline Helard,et al.  Reduced-complexity space-time block coding and decoding schemes with block linear precoding , 2003 .

[8]  Melanie Witzke.  Linear and widely linear filtering applied to iterative detection of generalized MIMO signals , 2005, Ann. des Télécommunications.

[9]  Christophe Laot,et al.  Low-complexity MMSE turbo equalization: a possible solution for EDGE , 2005, IEEE Transactions on Wireless Communications.

[10]  Stefan Kaiser,et al.  OFDM code-division multiplexing in fading channels , 2002, IEEE Trans. Commun..

[11]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[12]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[13]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[14]  Vincent Le Nir,et al.  Low complexity iterative receiver for non-orthogonal space-time block code with channel coding , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[15]  Karim Abed-Meraim,et al.  Diagonal algebraic space-time block codes , 2002, IEEE Trans. Inf. Theory.

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

[17]  A. Robert Calderbank,et al.  Space-time block coding for wireless communications: performance results , 1999, IEEE J. Sel. Areas Commun..

[18]  R. CalderbankA.,et al.  Space-time block coding for wireless communications , 2006 .

[19]  Mathini Sellathurai,et al.  Turbo-BLAST for wireless communications: theory and experiments , 2002, IEEE Trans. Signal Process..

[20]  John Cocke,et al.  Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) , 1974, IEEE Trans. Inf. Theory.

[21]  Georgios B. Giannakis,et al.  Space-time constellation-rotating codes maximizing diversity and coding gains , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[22]  Vincent Le Nir,et al.  Low complexity iterative receiver for linear precoded OFDM , 2005, WiMob'2005), IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005..

[23]  Andrea M. Tonello,et al.  Space-time bit-interleaved coded modulation with an iterative decoding strategy , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[24]  Georgios B. Giannakis,et al.  Full-diversity full-rate complex-field space-time coding , 2003, IEEE Trans. Signal Process..

[25]  Babak Hassibi,et al.  High-rate codes that are linear in space and time , 2002, IEEE Trans. Inf. Theory.

[26]  Emanuele Viterbo,et al.  Signal Space Diversity: A Power- and Bandwidth-Efficient Diversity Technique for the Rayleigh Fading Channel , 1998, IEEE Trans. Inf. Theory.

[27]  Georgios B. Giannakis,et al.  Space-time diversity systems based on unitary constellation-rotating precoders , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[28]  V. Le Nir,et al.  Low complexity iterative receiver for linear precoded MIMO systems , 2004, Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738).

[29]  Georgios B. Giannakis,et al.  Joint coding-precoding with low-complexity turbo-decoding , 2004, IEEE Transactions on Wireless Communications.

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

[31]  Claude Berrou,et al.  A low complexity soft-output Viterbi decoder architecture , 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.