针对实际中信道估计存在误差,从阵列信号处理的角度提出了V-BLAST(Vertical Bell Labs Layered Space-Time)OFDM系统中一种稳健的检测算法.将接收数据的协方差矩阵进行特征值分解,得到信号子空间,将存在估计误差的信道矢量向该子空间投影,就可以得到较为准确的信道矢量,然后利用波束形成计算出检测滤波器的系数.仿真结果表明,当信道估计存在误差时,该方法性能显著优于ZF(Zero-Forcing)和MMSE(Minimum Mean Square Error)算法.
A fast MUltiple SIgnal Classification (MUSIC) spectrum peak search algorithm is devised, which regards the power of the MUSIC spectrum function as target distribution up to a constant of proportionality, and uses Metropolis-Hastings (MH) sampler, one of the most popular Markov Chain Monte Carlo (MCMC) techniques, to sample from it. The proposed method reduces greatly the tremendous computation and storage costs in conventional MUSIC techniques i.e., about two and four orders of magnitude in computation and storage costs under the conditions of the experiment in the paper respectively.
