MMSE SQRD based SISO detection for coded MIMO-OFDM systems

Science China Information Sciences

Volumn 57, Issue 4, 2014, Pages 1-10

  Zhong, Wen ^a   Lu, AnAn ^a   Gao, XiQi ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

MIMO OFDM; MMSE; soft input soft output detection; SQRD

Indexed keywords

DECODING; GAIN CONTROL; ITERATIVE METHODS; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; SIGNAL RECEIVERS; TELECOMMUNICATION SYSTEMS;

A-POSTERIORI PROBABILITIES; MIMO-OFDM; MINIMUM MEAN SQUARE ERRORS (MMSE); MMSE; MULTIPLE-INPUT MULTIPLE-OUTPUT ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING (MIMO-OFDM); SOFT INPUT SOFT OUTPUT; SQRD; SUCCESSIVE INTERFERENCE CANCELLATION(SIC);

MIMO SYSTEMS;

EID: 84891636293     PISSN: 1674733X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11432-013-4939-x     Document Type: Article

References (21)

1. Bolcskei H. MIMO-OFDM wireless systems: basics, perspectives, and challenges. IEEE Wirel Commun, 2006, 13: 31-37.
2. Gao X Q, You X H, Jiang B, et al. Unifying eigen-mode MIMO transmission. Sci China Ser F-Inf Sci, 2009, 52: 2269-2278.
3. Liu R, Gao X Q, Wang W J. A sub-block orthogonal single carrier frequency domain equalization system in fast Rayleigh fading channel. Sci China Inf Sci, 2010, 53: 1833-1847.
4. Stuber G L, Barry J R, McLaughlin S W, et al. Broadband MIMO-OFDM wireless communications. Proc IEEE, 2004, 92: 271-294.
5. Hanzo L, Akhtman Y, Wang L, et al. MIMO-OFDM for LTE, WiFi, and WiMAX: coherent versus non-coherent and cooperative turbo-transceivers. West Sussex: John Wiley & Sons, 2011. 1-36.
6. Ahmed S, Ratnarajah T, Sellathurai M, et al. Iterative receivers for MIMO-OFDM and their convergence behavior. IEEE Trans Veh Technol, 2009, 58: 461-468.
7. Wang W J, Gao X Q, Wu X F, et al. Dual-turbo receiver architecture for turbo coded MIMO-OFDM systems. Sci China Inf Sci, 2012, 55: 384-395.
8. Tuchler M, Singer A C. Turbo equalization: an overview. IEEE Trans Inf Theory, 2011, 57: 920-952.
9. Douillard C, Jezequel M, Berrou C. Iterative correction of intersymbol interference: Turbo equalization. Eur Trans Telecommun, 1995, 6: 507-511.
10. Ketonen J, Juntti M, Cavallaro J R. Performance-complexity comparison of receivers for a LTE MIMO-OFDM system. IEEE Trans Signal Process, 2010, 58: 3360-3372.
11. Wang X, Poor H V. Iterative (Turbo) soft interference cancellation and decoding for coded CDMA. IEEE Trans Commun, 1999, 47: 1046-1061.
12. Sellathurai M, Haykin S. Turbo-BLAST for wireless communications: theory and experiments. IEEE Trans Signal Process, 2002, 50: 2538-2546.
13. Lu B, Yue G, Wang X. Performance analysis and design optimization of LDPC-coded MIMO-OFDM systems. IEEE Trans Signal Process, 2004, 52: 348-361.
14. Studer C, Bocskei H. Soft-input soft-output single tree-search sphere decoding. IEEE Trans Inf Theory, 2010, 56: 4827-4842.
15. Kim K J, Reid T, Iltis R A. Iterative Soft-QRD-M for Turbo coded MIMO-OFDM systems. IEEE Trans Commun, 2008, 56: 1043-1046.
16. Tuchler M, Singer A, Koetter R. Minimum mean squared error equalization using a-priori information. IEEE Trans Signal Process, 2002, 50: 673-683.
17. Liu D N, Fitz M P. Low complexity affine MMSE detector for iterative detection decoding MIMO-OFDM systems. IEEE Trans Commun, 2008, 56: 150-158.
18. Wubben D, Bohnke R, Kuchn V, et al. MMSE extension of V-BLAST based on sorted QR decomposition. In: Proceedings of IEEE Vehicular Technology Conference, Orlando, 2003. 508-512.
19. Matache A, Jones C, Wesel R. Reduced complexity MIMO detectors for LDPC coded systems. In: Proceedings of IEEE Military Communications Conference, Monterey, 2004. 1073-1079.
20. Robertson P, Villebrun E, Hoeher P. A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain. In: Proceedings of IEEE International Conference on Communications, Seattle, 1995. 1009-1013.
21. Ylitalo J, Jamsa T. LTE-the UMTS Long Term Evolution. West Sussex: John Wiley & Sons, 2009. 475-498.