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Low Complexity Turbo Equalization for High Data Rate Wireless Communications
EURASIP Journal on Wireless Communications and Networking volume 2006, Article number: 025686 (2006)
Abstract
Soft interference cancellers (SICs) have been proposed in the literature as a means for reducing the computational complexity of the so-called turbo equalization receiver architecture. Soft-input-soft output (SISO) equalization algorithms based on linear filters have a tremendous complexity advantage over trellis-diagram-based SISO equalizers, especially for high-order modulations and long-delay spread frequency selective channels. In this paper, we modify the way in which the SIC incorporates soft information. In existing literature the input to the cancellation filter is the expectation of the symbols based solely on the apriori probabilities coming from the decoder, whereas here we propose to use the conditional expectation of those symbols, given both the apriori probabilities and the received sequence. This modification results in performance gains at the expense of increased computational complexity, as compared to previous SIC-based schemes. However, by introducing an approximation to the aforementioned algorithm a linear complexity SISO equalizer can be derived. Simulation results for an 8-PSK constellation and hostile radio channels have shown the effectiveness of the proposed algorithms in mitigating the intersymbol interference (ISI).
References
Douillard C, Jezequel M, Berrou C, Picart A, Didier P, Glavieux A: Iterative correction of intersymbol interference: turbo-equalization. European Transactions on Telecommunications and Related Technologies 1995,6(5):507–511. 10.1002/ett.4460060506
Berrou C, Glavieux A, Thitimajshima P: Near Shannon limit errorcorrecting coding and decoding: turbo codes. Proceedings of the IEEE International Conference on Communications (ICC '93), May 1993, Geneva, Switzerland 1064–1070.
Laot C, Glavieux A, Labat J: Turbo equalization: adaptive equalization and channel decoding jointly optimized. IEEE Journal on Selected Areas in Communications 2001,19(9):1744–1752. 10.1109/49.947038
Fijalkow I, Roumy A, Ronger S, Pirez D, Vila P: Improved interference cancellation for turbo-equalization. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '00), June 2000, Istanbul, Turkey 1: 416–419.
Wang X, Poor HV: Iterative (turbo) soft interference cancellation and decoding for coded CDMA. IEEE Transactions on Communications 1999,47(7):1046–1061. 10.1109/26.774855
Tüchler M, Koetter R, Singer AC: Turbo equalization: principles and new results. IEEE Transactions on Communications 2002,50(5):754–767. 10.1109/TCOMM.2002.1006557
Tüchler M, Hagenauer J: Linear time and frequency domain turbo equalization. Proceedings of IEEE 53rd Vehicular Technology Conference (VTC '01), May 2001, Rhodes, Greece 2: 1449–1453.
Liu L, Ping L: An extending window MMSE turbo equalization algorithm. IEEE Signal Processing Letters 2004,11(11):891–894. 10.1109/LSP.2004.835461
Jiang S, Ping L, Sun H, Leung CS: Modified LMMSE turbo equalization. IEEE Communications Letters 2004,8(3):174–176. 10.1109/LCOMM.2004.823434
Laot C, Le Bidan R, Leroux D: Low-complexity MMSE turbo equalization: a possible solution for EDGE. IEEE Transactions on Wireless Communications 2005,4(3):965–974.
Tüchler M, Singer AC, Koetter R: Minimum mean squared error equalization using a priori information. IEEE Transactions on Signal Processing 2002,50(3):673–683. 10.1109/78.984761
Ampeliotis D, Berberidis K: A new turbo equalizer with linear complexity. Proceedings of 13th European Signal Processing Conference (EUSIPCO '05), September 2005, Antalya, Turkey
Bauch G, Khorram H, Hagenauer J: Iterative equalization and decoding in mobile communications systems. Proceedings of 2nd European Personal Mobile Communications Conference (EPMCC '97), September-October 1997, Bonn, German 307–312.
Vogelbruch F, Haar S: Improved soft ISI cancellation for turbo equalization using full soft output channel decoder's information. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM '03), December 2003, San Francisco, Calif, USA 3: 1736–1740.
Witzke M, Bäro S, Schreckenbach F, Hagenauer J: Iterative detection of MIMO signals with linear detectors. Proceedings of 36th Asilomar Conference on Signals Systems and Computers, November 2002, Pacific Groove, Calif, USA 1: 289–293.
Kay SM: Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall, Upper Saddle River, NJ, USA; 1993.
Heegard C, Wicker S: Turbo Coding. Kluwer Academic, Boston, Mass, USA; 1999.
Proakis J: Digital Communications. 3rd edition. McGraw-Hill, New York, NY, USA; 1995.
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Ampeliotis, D., Berberidis, K. Low Complexity Turbo Equalization for High Data Rate Wireless Communications. J Wireless Com Network 2006, 025686 (2006). https://doi.org/10.1155/WCN/2006/25686
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DOI: https://doi.org/10.1155/WCN/2006/25686
Keywords
- High Data Rate
- Interference Canceller
- Selective Channel
- Soft Information
- Equalization Algorithm