短波信道的分步平方根卡尔曼滤波

THE DIVIDED-STEP SQUARE ROOT KALMAN FILTERING FOR HF CHANNELS

本文在平方根卡尔曼滤波的基础上提出了分步平方根卡尔曼滤波理论。此滤波理论包含了原始的平方根卡尔曼算法和梯度算法,由此两种算法可生成各种形式的简化算法,运算量大为下降,但性能并未显著降低。故特别适用于实时处理的高速短波数传系统。

This paper develops a divided-step square root Kalman filtering theory based on the classical square root Kalman filtering and the gradient algorithm. Using these two algorithms, various simplified algorithms can be formed. Their computation time is much reduced, but their performances are not degraded remarkably. So, this filtering theory is mors adaptable for high-speed data transmission systems.