Abstract
This paper presents the design and evaluation of a channel estimation scheme that is efficient by means of both the mean square error (MSE) of channel estimation/tracking and its incorporation in a real MIMO system. The evaluation has been performed over the spatial channel model developed for MIMO simulations according to 802.16e case of 3GPP.25.996, taking also into account all IF and RF stages in the communication chain. Orthogonality has been applied in space-frequency dimension for both preamble and pilot symbols, as well as for the data symbols, with the application of Alamouti’s scheme. In 4G multicarrier systems that use space-time-frequency coding, orthogonal design turns into a key factor for the performance of the system since the channel has to remain about constant during the transmission of one orthogonal block, something which becomes quite challenging in highly time-variant propagation channels. Furthermore, space-frequency block coding (SFBC) becomes more efficient as the number of subcarriers increases (802.16e, 802.20, etc). The modified channel estimation scheme applied to MIMO transceiver is also efficient in minimization of the processing requirements at the receiver side by estimating only those channel properties that have been changed assuming that the general channel conditions (low/high mobility) are known. The results presented refer to the normalized MSE of the channel estimator and the overall performance evaluation (BER) of the system in various propagations channels, data rates and forward error correction modes.
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.
Similar content being viewed by others
References
Adjoudani, A., et al.: Prototype Experience for MIMO BLAST Over Third-Generation Wireless System. IEEE Journal on Selected Areas in Communications 21(3), 440–451 (2003)
Tarokh, V., Seshadri, N., Calderbank, A.: Space-Time Codes for High Data Rate Wireless Communication: Performance Criterion and Code Construction. IEEE Trans of Information Theory 44, 744–765 (1998)
Bolcskei, H., Paulraj, A.: Space-Frequency Codes for Broadband Fading Channels. In: IEEE International Symposium on Information Theory, June 2001, p. 219 (2001)
Tarokh, V., Jafarkhani, H., Calderbank, A.: Space-Time Block Codes for orthogonal designs. IEEE Trans of Information Theory 45, 1456–1467 (1999)
Li, Y., Seshadri, N., Ariyavisitakul, S.: Channel Estimation for OFDM Systems with Transmitter Diversity in Mobile Wireless Channels. IEEE Journal of Selected Areas in Communications 17(3), 461–471 (1999)
3GPP TR 25.996 v6.1.0, Spatial Channel Model for Multiple-Input Multiple Output Simulations (2003-2009)
IEEE Std 802.16.2-2004, Recommended Practice for Local and metropolitan area networks (March 17, 2004)
Alamouti, S.: A Simple Transmit Diversity Technique for Wireless Communications. Journal of Selected Areas in Communications 16(8) (October 1998)
Stuber, G., Barry, J., Mclaughlin, S., Li, Y., Ingram, M., Pratt, T.: Broadband MIMO-OFDM Wireless Communications. Proceedings of the IEEE 92(2) (February 2004)
Agilent, MIMO Wireless LAN PHY Layer [RF] Operation & Measurement, Application Note 1509 (September 16, 2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marousis, A.D., Constantinou, P. (2008). Evaluation of an Orthogonal SFBC Channel Estimation Scheme for MIMO OFDM Wireless Systems. In: Filipe, J., Obaidat, M.S. (eds) E-Business and Telecommunication Networks. ICETE 2006. Communications in Computer and Information Science, vol 9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70760-8_23
Download citation
DOI: https://doi.org/10.1007/978-3-540-70760-8_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70759-2
Online ISBN: 978-3-540-70760-8
eBook Packages: Computer ScienceComputer Science (R0)