摘要
针对多输入多输出时频双选择性信道,提出了一种基于信息叠加训练序列和最小二乘相结合的信道估计方法.基于基扩展模型构建MIMO时频双衰落系统,采用DDST算法估计信道矩阵,对误码率进行分析.训练序列采用等幅度的周期指数序列,同时在基于叠加训练序列估计的基础上叠加一个基于信息的周期序列.实验表明,基于DDST的MIMO时频双选信道估计方法比传统的估计方法显著降低了信道估计的均方误差和误码率,并能保持较高的频带利用率.
A new channel estimating method which is based on data-dependent superimposed training （DDST） and least square （LS） is proposed. Firstly the multiple input multiple output （MIMO） time-frequency fading system was built based on basis expansion model（BEM）. Then the channel matrix was estimated using the DDST method, and the bit error rate was also analysed. The periodic exponential sequence with the same magnitude was used as the training sequence and another periodic sequence based on the information sequence was added to eliminate the effect of the unknown information sequence on the training sequence. The simulating experiment indicates that the estimating method proposed obviously reduces the mean square error and the bit error rate compared with the traditional superimposed training（ST） method, and does not waste the system bandwidth.
出处
《应用科技》
CAS
2010年第4期43-46,共4页
Applied Science and Technology
关键词
基扩展信道模型
时频双选信道
MIMO系统
信道估计
均方误差
basis expansion model
time-frequency-selective channel
MIMO system
channel estimation
mean square error
