Modified MIMO channel estimation algorithm based on superimposed training sequence was proposed for the frequency selective channel.
针对提高无线信道的传输性能，提出了改进的基于叠加训练序列的MIMO信道估计算法。
At first, from the traditional channel estimation strategy using training sequence, a novel channel estimation method, which is based on reconstructed observed signal sequence is proposed.
首先，本文针对静止信道条件下或信道缓慢变化条件，在传统的基于训练序列的信道估计算法基础上，提出了一种基于重构观测样本的信道估计方法。
First, based on the characteristics of FCCH in GSM, analyzing the frequency spectrum and the correlation of SCH training sequence are two ways introduced to capture FCCH.
侦察的方法包括：对频率校正信道的侦察采用了直接频谱分析法和通过同步信道训练序列的相关计算方法；
Due to the obvious impact of frequency offset on PN sequences, based on the FH sequence, a symbol synchronization scheme with a conjugate symmetric training sequence is proposed.
针对频偏对PN序列相关性影响比较明显的问题，提出了一种利用FH序列构造的具有共轭对称性质的训练序列进行符号同步的方案。
The channel estimation algorithm based on training-sequence method firstly introduces the definition of the training sequence and discusses the optimum training-sequence in MIMO-OFDM system.
根据最优化训练序列的设计方法分别讨论了两种最优化训练序列的导频格式：对角正交导频和相移正交导频，分析了在两种不同导频格式下的信道估计算法。
The channel estimation algorithm based on training-sequence method firstly introduces the definition of the training sequence and discusses the optimum training-sequence in MIMO-OFDM system.
根据最优化训练序列的设计方法分别讨论了两种最优化训练序列的导频格式：对角正交导频和相移正交导频，分析了在两种不同导频格式下的信道估计算法。
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