Abstract
A new iterative equalizer based on the classical block decision feedback equalizer is introduced. The performance of this iterative version benefits from the usage of a soft decision function, which is based on noise whitening and consecutive matched filtering. The derivation of the decision function is very general and, therefore, applicable to arbitrary complex valued modulation symbols. After adding the possibility of processing extrinsic information to this decision function, the equalizer is embedded in an iterative equalization/decoding scheme. To demonstrate the performance of the scheme simulation results are presented for frequency selective channels using BPSK and 16 QAM.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A. Bury and J. Lindner, “Block transmission equalizers using constrained mininumum variance filters with application to mc-cdm”, In IEEE 6th International Symposium on Spread-Sprectrum Techniques and Applications, 6.9.–8.9.2000, New Jersey, pages 159–163, Sept 1999.
C. Douillard, M. Jezequel, C. Berrou, A. Picart, P. Didier, and A. Glavieux, “Iterative Correction of Intersymbol Interference: Turbo-Equalization”. European Transactions on Telecommunications, 6(5):507–511, Sept.–Oct. 1995.
J. Egle, C. Sgraja, and J. Lindner, “Iteratitive soft cholesky block decision feedback equalizer — a promising approach to combat interference”, In Vehicular Technology Conference 2001 (spring), pages 1604–1608, 2001.
T. Frey and M. Reinhardt, “Signal Estimation for Interference Cancellation and Decision Feedback Equalization”, In Vehicular Technology Conference 1997, pages 155–159, 1997.
A. Lampe, R. Schober, and W. Gerstacker, “A novel iterative multiuser detector for complex modulation schemes”, In Proceedings COST 262 Workhop Multiuser Detection in Spread Spectrum Communications, pages 25–29, 2001.
J. Lindner, “MC-CDMA in the Context of General Multiuser / Multisubchannel Transmission methods”. European Transactions on Telecommunications, 10:351–367, 1999.
F. D. Neeser and J. L. Massey, “Proper complex random processes with application to information theory”, IEEE Transactions on Information Theory, vol. 39(no.4):pp. 1293–1302, 1994.
J. G. Proakis, Digital Communications, McGraw-Hill, 1989.
M. C. Reed, Iterative Receiver Techniques for Code Multiple Access Communication Systems, Ph.d. theses, University of South Australia, Faculty of Information Technology, 1998.
C. Sgraja, A. Engelhart, W. G. Teich, and J. Lindner, “Combined equalization and decoding for BFDM packet transmission schemes”, In Proceedings 1st international OFDM-Workshop, 22./23. Sept., 1999.
C. Sgraja, A. Engelhart, W. G. Teich, and J. Lindner, “Equalization with recurrent neural networks for complex-valued modulation schemes”, In Proc. 3rd Workshop Kommunikationstechnik, Schloß Reisensburg/Germany, 1999.
F. Tarköy, “MMSE-optimal feedback and its applications”, In IEEE International Symposium on Information Theory, Whistler, B.C., Canada, page 195, 1995.
W. G. Teich and M. Seidl, “Code Division Multiple Access Communications: Multiuser Detection based on a Recurrent Neural Network Structure”, In International Symposium on Spread Spectrum Techniques and Applications, 22.9.–25.9.1996, Mainz, Germany, pages 979–984, 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Kluwer Academic Publishers
About this chapter
Cite this chapter
Egle, J., Lindner, J. (2002). Iterative Joint Equalization and Decoding Based on Soft Cholesky Equalization for General Complex Valued Modulation Symbols. In: Wysocki, T.A., Darnell, M., Honary, B. (eds) Advanced Signal Processing for Communication Systems. The International Series in Engineering and Computer Science, vol 703. Springer, Boston, MA. https://doi.org/10.1007/0-306-47791-2_20
Download citation
DOI: https://doi.org/10.1007/0-306-47791-2_20
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4020-7202-4
Online ISBN: 978-0-306-47791-1
eBook Packages: Springer Book Archive