Adaptive DFE multiuser receiver for CDMA systems using two-step LMS-type algorithm: An equalization approach

Wireless Personal Communications

Volumn 54, Issue 3, 2010, Pages 543-558

  Kohli, Amit Kumar ^a   Mehra, D K ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b THAPAR UNIVERSITY   (India)

Author keywords

Adaptive DFE; Estimation; Kalman filter; MMSE; Multipath fading; Multiuser detection

Indexed keywords

ADAPTIVE DECISION FEEDBACK EQUALIZERS; ADAPTIVE DFE; ADAPTIVE MINIMUM MEAN SQUARE ERRORS; ADAPTIVE MMSE; BIT ERROR RATE PERFORMANCE; CDMA SYSTEM; CHANNEL RESPONSE; CHANNEL VARIATIONS; CODE DIVISION MULTIPLE ACCESS SYSTEMS; DATA DETECTION; FEED-FORWARD; FEEDBACK FILTERS; FREQUENCY-SELECTIVE FADING CHANNELS; KALMAN FILTERING ALGORITHMS; LEAST MEAN SQUARES; LINE FILTERS; LMS ALGORITHMS; MMSE; MULTI-PATH; MULTI-USER; MULTI-USER CHANNEL; MULTI-USER INTERFERENCE; MULTI-USER RECEIVERS; NON-STATIONARITIES; RAYLEIGH; TIME VARYING; TIME-VARYING MULTIPATH FADING CHANNEL; WIRELESS PERSONAL COMMUNICATIONS;

ALGORITHMS; BIT ERROR RATE; CHANNEL ESTIMATION; CODE DIVISION MULTIPLE ACCESS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DECISION FEEDBACK EQUALIZERS; ESTIMATION; KALMAN FILTERS; MULTIPATH FADING; MULTIUSER DETECTION; PERSONAL COMMUNICATION SYSTEMS; SIGNAL PROCESSING; SIGNAL RECEIVERS; TIME VARYING SYSTEMS;

FREQUENCY SELECTIVE FADING;

EID: 77955848405     PISSN: 09296212     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11277-009-9739-7     Document Type: Article

References (37)

1. Abdulrahman, M., Sheikh, A. U. H., & Falconer, D. D. (1994). Decision feedback equalization for CDMA in indoor wireless communications. IEEE Journal on Selected Areas in Communications, 12, 698-706.
2. Banister, B. C., & Zeidler, J. R. (2002). Tracking performance of RLS algorithm applied to an antenna array in a realistic fading environment. IEEE Transactions on Signal Processing, 50, 1037-1050.
3. Chen, L., & Chen, B. (2001). A robust adaptive DFE receiver for DS-CDMA system under multipath fading channels. IEEE Transactions on Signal Processing, 49, 1523-1532.
4. Chen, B., Tsai, C., & Hsu, C. (2005). Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise. IEEE Transactions on Signal Processing, 53, 306-317.
5. Cioffi, J. M., Dudevoir, G. P., Eyuboglu, M. V., & Forney, G. D. (1995). MMSE decision feedback equalizers and coding-part I: Equalization results. IEEE Transactions on Communications, 43, 2582-2594.
6. Davis, L., Collings, I., & Evans, R. (1998). Coupled estimators for equalization of fast-fading mobile channels. IEEE Transactions on Communications, 46, 1262-1265.
7. Gazor, S. (1999). Predictions in LMS-Type adaptive algorithms for smoothly time-varying environments. IEEE Transactions on Signal Processing, 47, 1735-1739.
8. Honig, M., Madhow, U., & Verdú, S. (1995). Blind adaptive multiuser detection. IEEE Transactions on Information Theory, 41, 944-960.
9. Honig, M., & Tsatsanis, M. K. (2000). Adaptive techniques for multiuser CDMA receivers: Enhanced signal processing with short spreading codes. IEEE Signal Processing Magazine, 17, 49-61.
10. Iltis, R. A. (1994). An EKF-based joint estimator for interference, multipath, and code delay in a DS spread spectrum receiver. IEEE Transactions on Communications, 42, 1288-1299.
11. Iltis, R. A., & Mailaender, L. (1994). An adaptive multiuser detector with joint amplitude and delay estimation. IEEE Journal on Selected Areas in Communications, 12, 774-785.
12. Klein, A., Kaleh, G. K., & Baier, P. W. (1996). Zero forcing and minimum mean square error equalization for multiuser detection in code division multiple access channels. IEEE Transactions on Vehicular Technology, 45, 276-287.
13. Kohli, A. K., & Mehra, D. K. (2006). Tracking of time-varying channels using two-step LMS-type adaptive algorithm. IEEE Transactions on Signal Processing, 54, 2606-2615.
14. Kohli, A. K., & Mehra, D. K. (2007). New results for probability of error performance in MMSE multiuser detection for CDMA. Digital Signal Process, 17, 297-310.
15. Kohli, A. K., & Mehra, D. K. (2008). Adaptive multiuser channel estimator using reduced Kalman/LMS algorithm. Wireless Personal Communication, 46, 507-521.
16. Lindbom, L., Sternad, M., & Ahlén, A. (2001). Tracking of time-varying mobile radio channels - Part I: The Wiener LMS algorithm. IEEE Transactions on Communications, 49, 2207-2217.
17. Lindbom, L., Sternad, M., Ahlén, A., & Falkenström, M. (2002). Tracking of time-varying mobile radio channels - Part II: A case study. IEEE Transactions on Communications, 50, 156-167.
18. Macchi, O. (1986). Optimization of adaptive identification for time-varying filters. IEEE Transactions on Automatic Control, 31, 283-287.
19. Madhow, U. (1998). MMSE interference suppression for joint acquisition and demodulation of direct sequence CDMA signals. IEEE Transactions on Communications, 46, 1065-1075.
20. Madhow, U., & Honig, M. L. (1994). MMSE interference suppression for direct sequence spread spectrum CDMA. IEEE Transactions on Communications, 42, 3178-3188.
21. McLaughlin, S. (1991). Adaptive equalization via Kalman filtering techniques. Proceedings IEE, 138, 388-396.
22. Mulgrew, B. (1987). Kalman filter technique in adaptive filtering. Proceedings IEE, 134, 239-243.
23. Poor, H. V., & Verdú, S. (1997). Probability of error in MMSE multiuser detection. IEEE Transactions on Information Theory, 43, 858-871.
24. Proakis, J. G. (1995). Digital communications (3rd ed.). NY, USA: McGraw-Hill Inc.
25. Rapajic, P. B., & Vucetic, B. S. (1994). Adaptive receiver structures for asynchronous CDMA systems. IEEE Journal on Selected Areas in Communications, 12, 685-697.
26. Rappaport, T. S. (2002). Wireless communications - principles and practice (2nd ed.). Englewood Cliffs, NJ, USA: Prentice-Hall.
27. Sayed, A. H., & Kailath, T. (1994). A state-space approach to adaptive RLS filtering. IEEE Signal Processing Magazine, 11, 18-60.
28. Smee, J. E., & Schwartz, S. C. (2000). Adaptive feedforward/ feedbackward architectures for multiuser detection in high data rate wireless CDMA networks. IEEE Transactions on Communications, 48, 996-1011.
29. Tastsanis, M. K., & Giannakis, G. B. (1996). Optimal decorrelating receivers for DS-CDMA systems: A signal processing framework. IEEE Transactions on Signal Processing, 44, 3044-3054.
30. Tong, L., Xu, G., & Kailath, T. (1994). Blind identification and equalization based on second-order statistics: A time domain approach. IEEE Transactions on Information Theory, 40, 340-349.
31. Torlak, M., & Xu, G. (1997). Blind multiuser channel estimation in asynchronous CDMA systems. IEEE Transactions on Signal Processing, 45, 137-147.
32. Van Trees, H. L. (2002). Optimum array processing. New York: Wiley-Interscience.
33. Verdú, S. (1986). Minimum probability of error for asynchronous Gaussian multiple-access channels. IEEE Transactions on Information Theory, 32, 85-96.
34. Verdú, S. (1998). Multiuser detection. Cambridge: Cambridge University Press.
35. Widrow, B., McCool, J. M., Larimore, M. G., & Johnson, C. R. (1976). Stationary and nonstationary learning characteristics of the LMS adaptive filter. Proceedings IEEE, 64, 1151-1162.
36. Wu, P. H., & Duel-Hallen, A. (2000). Multiuser detectors with disjoint Kalman channel estimators for synchronous CDMA mobile radio channels. IEEE Transactions on Communications, 5, 752-757.
37. Xie, Z., Short, R. T., & Rushforth, C. K. (1990). A family of sub-optimum detectors for coherent multiuser communications. IEEE Journal on Selected Areas in Communications, 8, 683-690.