摘要
常用的空时译码方法在很大程度上依赖于准确的信道状态信息,使得信道估计成为正确进行空时编码译码的先决条件。结合虚拟导频的设计和时频二维多项式拟合算法,研究了一种适用于快速移动场景下的虚拟导频信道估计算法。该算法能够利用时频二维信道信息的相关性,对信道进行拟合,从而提升信道估计的性能。分别在车载60km以及车载120km信道模式下进行仿真,结果表明,较现有的信道估计算法,在快速移动场景下虚拟导频信道估计算法具有更好的均方误差性能。
The space-time decoding algorithms widely used in systems depend,to a great extent,on the accurate channel state information,so channel estimation is one of the key technologies in space-time coding and decoding.In combination of virtual pilot design and two-dimensional polynomial fitting algorithms,the VPA（Virtual Pilot Algorithm）channel estimation suitable for fast moving scenes is studied and doveloped.VPA can use relativity of the two-dimensional channel information to fit the channel,so system performance could be improved.The simulation results,in VA60 and VA120 channel model,show that the mean-square-error performance of VPA is better than that of other channel estimation algorithms in fast moving scene.
出处
《通信技术》
2010年第11期142-143,146,共3页
Communications Technology
