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MIMO-OFDM最优训练序列设计
引用本文:武威,蔡跃明. MIMO-OFDM最优训练序列设计[J]. 军事通信技术, 2008, 0(1)
作者姓名:武威  蔡跃明
作者单位:解放军理工大学通信工程学院研究生2队;解放军理工大学通信工程学院无线通信系;
基金项目:江苏省自然科学基金资助项目(BK2006701),(BK2006002)
摘    要:推导得到了宽带 MIMO-OFDM 信道模型。在空间相关情况下推导了非盲信道估计的 Bayesian CRB及 Bayesian MMSE。利用 Bayesian CRB 准则对发送的训练序列进行了功率分配,而后利用一种线性规划的方法对带有保护带宽 MIMO-OFDM 训练符号进行子载波功率分配,并利用发端酉矩阵进行最优相位设计。

关 键 词:多入多出正交频分复用  信道估计  贝叶斯克拉美劳界  训练序列设计  

Optimal Training Signals Design for MIMO-OFDM
WU Wei CAI Yue-ming.Postgraduate Team ICE,PLAUST,Nanjing ,China. Optimal Training Signals Design for MIMO-OFDM[J]. Journal of Military Communications Technology, 2008, 0(1)
Authors:WU Wei CAI Yue-ming.Postgraduate Team ICE  PLAUST  Nanjing   China
Affiliation:WU Wei~1 CAI Yue-ming~21.Postgraduate Team 2 ICE,PLAUST,Nanjing 210007,China,Department of Radio Communication ICE
Abstract:Broadband MIMO-OFDM channel models were derived.The Bayesian CRB and Bayesian MMSE of non-blind channel estimation was derived under spatial correlation circum- stances.The power of training sequences that minimize the channel estimation Bayesian CRB was allocated.A Linear Programming(LP) method was used for optimal power distribution design and the transmit unitary matrix was used for optimal phase design in MIMO-OFDM systems with guard subcarriers.
Keywords:MIMO-OFDM  channel estimation  Bayesian CRB  training signals design  
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