Performance Evaluation of Channel Estimation and Interference Cancellation Techniques for Multiuser with Transmitter Diversity System 


Vol. 27,  No. 7, pp. 641-650, Jul.  2002


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  Abstract

Space-Time Block Code(STBC) provides full diversity gains with simple linear processing at the receiver
Interference Cancellation(IC) techniques in system using STBC improve the capacity and performance of wireless systems with co-channel users. Various IC techniques, Minimum Mean-Squared Error(MMSE) and Zero-Forcing (ZF) algorithms in system with STBC were proposed in the literatures multiuser environment The performance of these IC techniques were simulated by assuming perfect channel state information(CSI) of multiuser at the receiver. However, in practice it is difficult to know perfect CSI of multiuser at the receiver. Thus, channel estimation scheme is essential at the receiver. Also SNR estimation scheme is required to operate the MMSE IC algorithm. In this paper, we present estimation schemes of CSI and SNR using training sequences. Through extensive computer simulation, we compare and evaluate the performance of IC techniques using the proposed CSI and SNR estimation techniques.

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  Cite this article

[IEEE Style]

H. J. Yu, S. M. Lee, H. J. Choi, "Performance Evaluation of Channel Estimation and Interference Cancellation Techniques for Multiuser with Transmitter Diversity System," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 7, pp. 641-650, 2002. DOI: .

[ACM Style]

Hyung Joon Yu, Sang Mun Lee, and Hyung Jin Choi. 2002. Performance Evaluation of Channel Estimation and Interference Cancellation Techniques for Multiuser with Transmitter Diversity System. The Journal of Korean Institute of Communications and Information Sciences, 27, 7, (2002), 641-650. DOI: .

[KICS Style]

Hyung Joon Yu, Sang Mun Lee, Hyung Jin Choi, "Performance Evaluation of Channel Estimation and Interference Cancellation Techniques for Multiuser with Transmitter Diversity System," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 7, pp. 641-650, 7. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880