一种基于流水迭代接收机的低复杂度Kalman快衰落信道估计算法

针对流水迭代接收机,提出了一种低复杂度的Kalman信道估计算法.该算法利用流水迭代接收机可同时提供多个软判决反馈信息的特点,通过消除这些反馈信息之间的相关性,使其可以有选择地用于Kalman滤波新息更新过程,从而提升信道估计的精度.该算法实时分析来自接收机中符号检测和迭代译码模块反馈信息的可靠性,使其在快衰落信道下也可较好地跟踪信道.仿真和最小均方误差分析表明所提信道估计算法与其他算法相比,在复杂度和性能方面具有一定优势.

A Low-complexity Kalman Channel Estimation Algorithm for Pipelined Turbo Receiver under Fast Fading

Based on pipelined turbo receiver, a low-complexity Kalman channel estimation algorithm is proposed. One property of the pipelined turbo receiver is that multiple soft-decisions can be provided at different pipelined stages. The feedback can be used to update the innovation process to improve the estimation once the correlations between the soft-decisions are eliminated. The proposed algorithm can contnuously monitors the reliablity of the feedback and adopt it during the estimation procedure selectively, so the algorithm can track the fast fading channel. Simulations and analysis of mean square error show that the proposed algorithm can achieve advantages in computational complexity and performance.