Abstract
A non-iterative block processing algorithm for channel estimation is presented. This is suitable for time-division multiple access (TDMA) digital radio systems with a signal structure based on time-slots. Such channel estimator can be applied in conjunction with decision feedback equalizer, maximum likelihood sequence estimator (MLSE) or near-MLSE. A theoretical analysis of the estimator performances for slow and fast time-varying channels is presented. A procedure for determining the required training sequence length and the number of estimated coefficients in the channel impulse response is developed. Depending on channel characteristics, there is a particular length which yields optimum performances at the beginning of the data block. This length is analytically evaluated for constant amplitude zero-autocorrelation (CAZAC) sequences. Finally, the effects of channel estimation optimization are assessed by computer simulations.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
G.W. Davidson, D.D. Falconer and A.U.H. Sheikh, “An investigation of block-adaptive decision feedback equalisation for frequency selective fading channels”, Can. J. Elect. & Comp. Eng., vol. 13, pp. 106–112, Mar. 1988.
G. d'Aria, V. Zingarelli, “Fast adaptive equalizers for narrow-band TDMA mobile radio”, IEEE Trans. on veh. tech., vol. 40, pp. 392–404, May 1991.
J.G. Proakis, “Adaptive equalization for TDMA digital mobile radio”, IEEE Trans. on veh. tech., vol. 40, pp. 333–341, May 1991.
S.N. Crozier, D.D. Falconer and S.A. Mahmoud, “Least sum of squared errors (LSSE) channel estimation”, IEE Proc. Pt. F, vol. 138, pp. 371–378, Aug. 1991.
R.A. Ziegler and J.M. Cioffi, “Estimation of time-varying digital channels”, IEEE Trans. on veh. tech., vol. 41, pp. 134–151, May 1992.
S.N. Crozier, “Short-block data detection techniques employing channel estimation for fading, time-dispersive channels”, Ph.D. dissertation, Carleton univ. Ottawa, ont., Canada, Apr. 1990.
S. Haykin, Adaptive filter theory. Prentice-Hall, 1986.
A.P Clark, Z.C. Zhu and J.K. Joshi, “Fast start-up channel estimation”, IEE Proc. Pt. F, vol. 131, pp. 375–382, July 1984.
A. Milewski, “Periodic sequences with optimal properties for channel estimation and fast start-up equalization”, IBM J. Res. Develop., vol. 27, pp. 426–431, Sept. 1983.
D. Poppen, “Design of training sequences for channel impulse response measurement”, COST 231, Vienna, Austria, pp. 2–10, Jan. 1992.
M. Failli, “Digital land mobile radio communications” COST 207 final report, CIC Inf. Techno. and Sciences, Brussels, pp. 135–166, 1989.
A. Wautier, “Influence de l'estimation du canal sur les performances d'un égaliseur dans le cadre des radiocommunications avec le mobiles“, Thèse de doctorat, univ. Paris XI, France, Dec. 1992.
C. Mourot, “A high bit rate transmission technique in mobile radio cellular environment”, Proc. of the 42 nd IEEE Veh. Tech. Conf., Denver, USA, pp. 740–743, May 1992.
A. Wautier, J-C. Dany, C. Mourot, “Filtre correcteur de phase pour égaliseurs sous-optimaux”, Ann. Telecommun., vol. 47, pp. 359–369, Sep. 1992.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1994 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wautier, A., Dany, JC. (1994). Reduced-complexity channel estimation and equalization for TDMA mobile radio systems. In: Gulliver, T.A., Secord, N.P. (eds) Information Theory and Applications. ITA 1993. Lecture Notes in Computer Science, vol 793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57936-2_38
Download citation
DOI: https://doi.org/10.1007/3-540-57936-2_38
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-57936-6
Online ISBN: 978-3-540-48392-2
eBook Packages: Springer Book Archive