将联合最大似然分组半盲估计算法应用于正交频分复用系统。
Joint ML block semi-blind channel estimation is applied to OFDM system.
信道估计的方法从大的角度可以分为非盲估计、盲估计和半盲估计。
Channel estimation methods can be grouped into non-blind estimation, blind estimation and semi-blind estimation.
根据算法的特点，信道估计可大致分为三类：基于导频辅助的估计、盲估计、半盲估计。
According to the characteristics of various algorithms, we can classify them into three types: pilot-assisted channel estimation, blind and semi-blind estimation.
瑞利信道通过提出的半盲迭代估计得到。
Rayleigh channel parameters are obtained by proposed semi-blind iterative estimation.
第五章研究了基于一阶统计量的叠加训练序列的半盲信道估计方法，并结合检测结果来提高估计的精度。
In order to improve channel estimation's precision, in chapter 5, semi-blind channel estimation and detection using superimposed training's first-order statistics were studied.
第五章研究了基于一阶统计量的叠加训练序列的半盲信道估计方法，并结合检测结果来提高估计的精度。
In order to improve channel estimation's precision, in chapter 5, semi-blind channel estimation and detection using superimposed training's first-order statistics were studied.
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