Abstract
A new method to implement the Block-FFT algorithm is investigated based on the comparative study of the computation of the inverse of the system matrix which is the crucial part of Joint data Detection algorithms, and the computational complexity, memory requirements and the BER performance of the proposed Block-FFT algorithm is compared to that of standard Cholesky decomposition algorithm and approximate Cholesky decomposition algorithm. The simulation results indicate that the proposed Block-FFT algorithm exhibits same BER performance with the other two algorithms while whose computational complexity and memory requirements are sharply decreased . Furthermore, it is more tractable to realize.
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
Moshavi, S.: Multi-user detection for DS-CDMA communications. IEEE Communications Magazine 34(10), 124–136 (1996)
Muller, R.R., Verdu, S.: Design and analysis of low-complexity interference Mitigation on Vector Channels. IEEE J. Select. Areas Commun. 19(8), 1429–1441 (2001)
Vollmer, M., Haardt, M., Gotze, J.: Comparative Study of Joint-Detection Techniques for TD-CDMA Base Mobile Radio Systems. IEEE J. Select. Areas Commun. 19, 1457–1461 (2001)
Vollmer, M., Haardt, M., Gotze, J.: Joint-Detection using Fast Fourier Transforms in TD-CDMA base Mobile Radio Systems. In: Proc. IEEE/IEE Int. Conf. on Telecommunications, Cheju Island, South Korea (June 1999)
Steiner, B., Baier, P.W.: Low cost channel estimation in the up link receiver of CDMA mobile ratio system. Frequenz 47(11-12), 292–298 (1993)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shuaijun, Z., Huaqing, Z., Lulu, Z., Jiaye, W. (2012). Research of TD-SCDMA Joint Data Detection Algorithm. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03718-4_131
Download citation
DOI: https://doi.org/10.1007/978-3-642-03718-4_131
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03717-7
Online ISBN: 978-3-642-03718-4
eBook Packages: EngineeringEngineering (R0)