摘要
This paper deals with optimal training design and placement over multiple orthogonal frequency division multiplexing(OFDM) symbols for the least squares(LS) channel estimation in multiple-input multipleoutput(MIMO) OFDM systems.First,the optimal pilot sequences over multiple OFDM symbols are derived by co-cyclic Jacket matrices based on the minimum mean square error(MSE) of the LS channel estimation.Then,an enhanced channel estimation method using sliding window is proposed to improve further the performance for the optimal pilot sequences in fast-varying channels.Simulation results show that the enhancedmethod can efficiently improve the performances for the optimal pilot sequences over two and four OFDM symbols,especially in fast-varying channels.
This paper deals with optimal training design and placement over multiple orthogonal frequency division multiplexing （OFDM） symbols for the least squares （LS） channel estimation in multiple-input multipleoutput （MIMO） OFDM systems. First, the optimal pilot sequences over multiple OFDM symbols are derived by co-cyclic Jacket matrices based on the minimum mean square error （MSE） of the LS channel estimation. Then, an enhanced channel estimation method using sliding window is proposed to improve further the performance for the optimal pilot sequences in fast-varying channels. Simulation results show that the enhanced method can efficiently improve the performances for the optimal pilot sequences over two and four OFDM symbols, especially in fast-varying channels.
基金
the National Natural Science Foundation of China (Nos. 60332030 and 60625103)
the Science and Technology Commission of Shanghai Municipality (STCSM) (No. 05DZ22102)
the National High Technology Research and Development Program(863) of China (No. 2007AA01Z237)
关键词
正交频分复用
信道估计
优化设计
MIMO
培训
OFDM系统
多输入输出系统
就业
co-cyclic Jacket matrix, optimal pilot sequences, channel estimation, multiple-input multiple-output orthogonal frequency division multiplexing （MIMO-OFDM）
