一种改进的超宽带卡尔曼信道估计

在MB-OFDM超宽带系统中,针对《无线高速率超宽带物理层和媒体访问控制规范》国家标准中MAC层数据结构,提出了一种卡尔曼滤波改进的反馈信道估计算法。该算法是在卡尔曼滤波之前加入一个多级LS算法的预估价。与传统卡尔曼滤波比较,该方法提高了卡尔曼滤波的收敛速度,简化了卡尔曼滤波的迭代过程,最小均方误差性能和误码率性能也略有提升。

In this paper,a novel channel estimation algorithm is proposed for MB-OFDM Utral Wide-band systems based improved kalman filter to adapt the wireless high rate ultra wideband PHY and MAC specification.The algorithm include two steps：firstly LS channel estimation for frame header and training sequences,then using the kalman filter to estimation the data sequences.comparing with the traditional kalman filter,the proposed method can accelerate rate of convergence by kalman filters,simplify the kalman iterative process,has better performance on Minimum Mean Square Error and Bit Error Rate.