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Erschienen in: Wireless Personal Communications 2/2013

01.09.2013

Low-Complexity Butterfly Integration Structure for MMSE-SIC SISO Detector

verfasst von: Huan-Chun Wang, De-Jhen Huang, Hernan Garron Leon, Jyh-Horng Wen

Erschienen in: Wireless Personal Communications | Ausgabe 2/2013

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Abstract

In this paper, we propose a low-complexity butterfly integration structure (LCBIS) for the minimum mean square error-soft interference cancellation (MMSE-SIC) soft-in soft-out (SISO) detector, which is widely used for MIMO systems. Unlike the conventional MMSE-SIC SISO detector which performs matrix inverse operations, the LCBIS performs butterfly integration operations with low complexity. To develop the LCBIS SISO detector, we derive an integral expression for the extrinsic information of the conventional MMSE-SIC SISO detector, and then propose a butterfly integration structure to compute the integral expression efficiently. Without matrix inverse operations, LCBIS significantly reduces the complexity of the MMSE-SIC SISO detector. In addition, simulation results show that LCBIS can offer much better BER than the other SISO detectors which do not perform matrix inverse operations.

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Literatur
1.
Zurück zum Zitat Paulraj, A., Nabar, R., & Gore, D. (2003). Introduction to space-time wireless communications. Cambridge: Cambridge University Press. Paulraj, A., Nabar, R., & Gore, D. (2003). Introduction to space-time wireless communications. Cambridge: Cambridge University Press.
2.
Zurück zum Zitat Verdu, S. (1998). Multiuser detection. Cambridge: Cambridge University Press.MATH Verdu, S. (1998). Multiuser detection. Cambridge: Cambridge University Press.MATH
3.
Zurück zum Zitat Fincke, U., & Pohst, M. (1985). Improved methods for calculating vectors of short length in a lattice, including a complexity analysis. Mathematics of Computation, 44(170), 463–471.MathSciNetMATHCrossRef Fincke, U., & Pohst, M. (1985). Improved methods for calculating vectors of short length in a lattice, including a complexity analysis. Mathematics of Computation, 44(170), 463–471.MathSciNetMATHCrossRef
4.
Zurück zum Zitat Ketonen, J., Juntti, M., & Cavallaro, J. R. (2010). Performance-complexity comparison of receivers for a LTE MIMO-OFDM system. IEEE Transactions on Signal Processing, 58(6), 3360–3372.MathSciNetCrossRef Ketonen, J., Juntti, M., & Cavallaro, J. R. (2010). Performance-complexity comparison of receivers for a LTE MIMO-OFDM system. IEEE Transactions on Signal Processing, 58(6), 3360–3372.MathSciNetCrossRef
5.
Zurück zum Zitat Choi, J. W., Singer, A. C., & Cho, N. I. (2010). Improved linear soft-input soft-output detection via soft feedback successive interference cancellation. IEEE Transactions on Communications, 58(3), 986–996.MathSciNetCrossRef Choi, J. W., Singer, A. C., & Cho, N. I. (2010). Improved linear soft-input soft-output detection via soft feedback successive interference cancellation. IEEE Transactions on Communications, 58(3), 986–996.MathSciNetCrossRef
6.
Zurück zum Zitat Tong, J., & Peng, L. (2010). Iterative soft compensation for OFDM systems with clipping and superposition coded modulation. IEEE Transactions on Communications, 58(10), 2861–2870.CrossRef Tong, J., & Peng, L. (2010). Iterative soft compensation for OFDM systems with clipping and superposition coded modulation. IEEE Transactions on Communications, 58(10), 2861–2870.CrossRef
7.
Zurück zum Zitat Tuchler, M., & Singer, A. C. (2011). Turbo equalization: An overview. IEEE Transactions on Information Theory, 75(2), 920–952.MathSciNetCrossRef Tuchler, M., & Singer, A. C. (2011). Turbo equalization: An overview. IEEE Transactions on Information Theory, 75(2), 920–952.MathSciNetCrossRef
8.
Zurück zum Zitat Choi, J. (2007). A correlation based analysis for approximate MAP detectors and iterative receivers. IEEE Transactions on Wireless Commuications, 6(5), 1764–1773.CrossRef Choi, J. (2007). A correlation based analysis for approximate MAP detectors and iterative receivers. IEEE Transactions on Wireless Commuications, 6(5), 1764–1773.CrossRef
9.
Zurück zum Zitat Stefanov, A., & Duman, T. M. (2001). Turbo-coded modulation for systems with transmit and receive antenna diversity over block fading channels: System model, decoding approaches, and practical considerations. IEEE Journal of Selected Areas in Communications, 19(5), 958–968.CrossRef Stefanov, A., & Duman, T. M. (2001). Turbo-coded modulation for systems with transmit and receive antenna diversity over block fading channels: System model, decoding approaches, and practical considerations. IEEE Journal of Selected Areas in Communications, 19(5), 958–968.CrossRef
10.
Zurück zum Zitat Hochwald, B. M., & Ten Brink, S. (2003). Achieving near-capacity on a mulitiple-antenna channel. IEEE Transactionsm on Commuication, 51(3), 389–399.CrossRef Hochwald, B. M., & Ten Brink, S. (2003). Achieving near-capacity on a mulitiple-antenna channel. IEEE Transactionsm on Commuication, 51(3), 389–399.CrossRef
11.
Zurück zum Zitat De Jong, Y., & Willink, T. (2005). Iterative tree search detection for MIMO wireless systems. IEEE Transactions on Commuications, 53(6), 930–935.CrossRef De Jong, Y., & Willink, T. (2005). Iterative tree search detection for MIMO wireless systems. IEEE Transactions on Commuications, 53(6), 930–935.CrossRef
12.
Zurück zum Zitat Wang, X., & Poor, H. V. (1999). Iterative (turbo) soft interference cancellation and decoding for coded CDMA. IEEE Transactions on Commuications., 47(7), 1046–1061.CrossRef Wang, X., & Poor, H. V. (1999). Iterative (turbo) soft interference cancellation and decoding for coded CDMA. IEEE Transactions on Commuications., 47(7), 1046–1061.CrossRef
13.
Zurück zum Zitat Sellathurai, M., & Haykin, S. (2002). Turbo-BLAST for wireless communications: Theory and experiments. IEEE Transactions on Signal Processing, 50(10), 2538–2546.CrossRef Sellathurai, M., & Haykin, S. (2002). Turbo-BLAST for wireless communications: Theory and experiments. IEEE Transactions on Signal Processing, 50(10), 2538–2546.CrossRef
14.
Zurück zum Zitat Li, Y., & Xia, X.-G. (2006). Iterative demodulation/decoding methods based on Gasuusain approximations for lattice based space-time coded systems. IEEE Transactions on Wireless Commuications, 5(8), 1976–1983.CrossRef Li, Y., & Xia, X.-G. (2006). Iterative demodulation/decoding methods based on Gasuusain approximations for lattice based space-time coded systems. IEEE Transactions on Wireless Commuications, 5(8), 1976–1983.CrossRef
15.
Zurück zum Zitat Liu, D. N., & Fitz, M. P. (2008). Low complexity affine MMSE detector for iterative detection-decoding MIMO-OFDM systems. IEEE Transactions on Commuications, 56(1), 150–158.CrossRef Liu, D. N., & Fitz, M. P. (2008). Low complexity affine MMSE detector for iterative detection-decoding MIMO-OFDM systems. IEEE Transactions on Commuications, 56(1), 150–158.CrossRef
16.
Zurück zum Zitat Hogg, R. V., Craig, A., McKean, J. W. (2005). Introduction to Mathematical Statistics. New Jersey: Pearson Publishers. Hogg, R. V., Craig, A., McKean, J. W. (2005). Introduction to Mathematical Statistics. New Jersey: Pearson Publishers.
17.
Zurück zum Zitat Robertson, P., Villebrun, E., Hoeher, P. (1995). A comparison of optimal and sub-optimal MAP decoding algorithm operating in the log domain. In Proceedings of the IEEE international conference communications, Vol. 2, pp. 1009–1013. Robertson, P., Villebrun, E., Hoeher, P. (1995). A comparison of optimal and sub-optimal MAP decoding algorithm operating in the log domain. In Proceedings of the IEEE international conference communications, Vol. 2, pp. 1009–1013.
18.
Zurück zum Zitat Ten Brink, S. (2001). Convergence behavior of iteratively decoded parallel concatenated codes. IEEE Transactions on Commuications, 49(10), 1727–1737.MATHCrossRef Ten Brink, S. (2001). Convergence behavior of iteratively decoded parallel concatenated codes. IEEE Transactions on Commuications, 49(10), 1727–1737.MATHCrossRef
Metadaten
Titel
Low-Complexity Butterfly Integration Structure for MMSE-SIC SISO Detector
verfasst von
Huan-Chun Wang
De-Jhen Huang
Hernan Garron Leon
Jyh-Horng Wen
Publikationsdatum
01.09.2013
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2013
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-013-1073-4

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