基于最优导频的自适应Kalman滤波信道估计方法

针对时变信道中的子载波间干扰(ICI)和噪声的统计模型不准确引起的滤波发散问题,介绍了一种基于最优导频预滤波的自适应Kalman联合算法。该算法通过使用最优导频滤除ICI,获得理想信道初始状态,然后将其作为Kalman滤波初始信息在时域上进行自适应Kalman信道估计。最后仿真实验表明,和传统的基于导频的Kalman滤波(KF)算法相比,该方法能有效抑制KF发散和改善信道估计精度。

An Adaptive Kalman Channel Estimation Method Based on Optimal Pilot

The paper introduces a adaptive Kalman filter algorithm that based on optimal pilot pre-filtering method ,this method is proposed for filtering divergence problem which is caused by inter-carrier interference (ICI) and the noise statistical model is not accurate. The algorithm makes use of optimal pilot to estimate the initial information, filters out ICI in initial channel estimation,and then takes adaptive Kalman channel estimation on time-domain. Finally,the simulation results show that, compared with the traditional KF algorithm, the proposed method can restrain KF divergence and improve channel estimation accuracy effectively.