摘要
电控罗经因其多种优点得到广泛的使用,但是由于受多种干扰影响,其航向数据存在不同噪声。利用改进的Sage-Husa自适应滤波和抗野值算法,将其应用到罗经的数据处理中,并与经典kalman进行了比较。通过试验结果中误差方差和Allan方差系数的比较,得到Sage-Husa自适应滤波比经典kalman更适用于航向数据的处理。
As its multifarious advantages, the electromagnetic controlled gyrocompass is used broadly. Because of kinds of jamming, there are differents noises in the data. The least square filtering（LSF） is without the requirement of noise statis tics information and has a better robustness. The conventional Kalman filtering and LSF were compared in Electromagnetic Controlled Gyrocompass data processing.
出处
《舰船电子工程》
2009年第12期77-79,共3页
Ship Electronic Engineering
