正交频分复用（OFDM）技术具有抗多径、频带利用率高的优点,但随着传输距离的增加,信道条件的恶化,以及多径、多普勒频移影响的加剧,OFDM系统的通信传输变得愈加困难,因此研究有效的信道估计算法具有重要的现实意义。针对这些问题,提出了一种基于平方根容积卡尔曼滤波（SCKF）的信道估计方法,通过对OFDM子载波的信道响应进行递推,可实现OFDM系统信道的精确估计;仿真实验表明,与传统最小平方（LS）信道估计算法、离散余弦变换（DCT）信道估计算法相比,新算法具有更好的抗噪声性能。%The OFDM technique has the advantage of anti-muhipath and sufficiency of the channel band application. But with the increase of the transmission distance, the deteri0rism of channel conditions, and the severe influence of doppler frequency shift, the communication transmission of OFDM becomes more and more difficult, so it has important significance to research effective channel estimation algorithm. A new nonlinear-filter algorithm Square-Root Cubature Kalman Filter （SCKF） is offered for channel estimation, and then the algorithm can realize the accurate estimation of OFDM channel by the channel recursion of the OFDM subcarrier. Compared with the Least-Squares （LS） channel estimation algorithm and Discrete Cosine Transform （DCT） channel estimation algorithm, the new algorithm has the better anti-noise performance by experiments.
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