该文对MIMO - OFDM系统中基于导频辅助的LMMSE信道估计算法进行了研究，导出了其估计均方差的下界。
The LMMSE channel estimation algorithms based on Pilot-Assisted is investigated for MIMO-OFDM systems, and the Low-Bound of MSE for LMMSE channel estimation is derived.
采用椭球剖分策略剖分可行域为小的椭球，用投影次梯度算法解松弛二次规划问题的拉格朗日对偶问题，从而获得原问题的一个下界。
A projection subgradient algorithm for the Lagrangian dual problem of the relaxed quadratic problem is employed to general lower bounds of the optimal value for the original problem.
这种算法既无需选择传统超稳定自适应算法的补偿滤波系数，又无需对信号向量的下界要求条件。
The smooth coefficients which must be chosen in conventional hyperstable algorithm are not needed, and requirement that signal vector has a lower bound is not needed either.
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