期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：6
页码：321-328
出版社：International Journal of Computer Science and Network Security
摘要：Channel Capacity is the essential factor of wireless communications. Hence there are wide ranges of theories which strive for the effective usage of channels. Those include implementing diversity at transmitter and receiver ends, frequency allocation so on so forth. In this paper, we have presented a new dimension in increasing the channel capacity. This is done through effective utilization of channel which is possible through an efficient channel estimation strategy. That is channel estimation through training sequence method. The impact of training sequence on the capacity of MIMO system is considered. Based on the ML channel estimator, the estimation-error-involving capacity formula has been derived. We show that the estimation error may decrease the channel capacity significantly, while the optimal training sequences can achieve substantial improvement over the random ones. And in the second result we derived that the estimation-error-involving capacity approaches the ideal capacity as the training length increasing, while a long training length will not bring evident improvement on the capacity, which indicates that a suitable training length should be chosen in practice. Finally we estimate the training sequence length of the diversified values of SNR, number of transmitting and receiving antennas and percentage of ideal capacity. And we conclude that the training sequences very much effect the channel capacity, and by implementing the optimal training sequence length we arrive at the improved channel capacity.
关键词：Channel Estimation, Channel Capacity, Training Sequence, Wireless Communication, Algorithms
