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论文类型：期刊论文

发表时间：2012-01-01

发表刊物：International Journal of Advancements in Computing Technology

收录刊物：Scopus、EI

卷号：4

期号：7

页面范围：10-17

ISSN号：20058039

摘要：We propose a novel superimposed training-based channel estimator for frequency-flat block-fading multiple-input multiple-output (MIMO) systems. The superimposed training sequence is designed to be orthogonal to the information-bearing data and the orthogonal property is obtained by exploiting the random space-time symbol interleaver at transmitter. As a result, the interference from the unknown data is totally eliminated during the process of channel estimation. The proposed design is then proved to be optimal to minimize the squared error criterion. Furthermore, the optimal power allocation for training is also analytically derived. Simulation results demonstrate the excellent performance of the proposed scheme.