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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 commonly used space-time decoding method relies heavily on accurate channel state information, making channel estimation a prerequisite for correct space-time coding and decoding. Combined with the design of virtual pilot and time-frequency two-dimensional polynomial fitting algorithm, a virtual pilot channel estimation algorithm for fast moving scenes is studied. The algorithm can make use of the correlation of time-frequency two-dimensional channel information to fit the channel and improve the performance of channel estimation. Simulation results show that the proposed algorithm has better mean square error performance under fast moving scenarios than the existing channel estimation algorithms.