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为了提高导弹命中目标的精度,研究了GPS/SINS组合导航系统。以组合导航系统为应用背景,在常规Kalman数学模型的基础上,提出了改进的自适应Sage-Husa滤波方法。试验结果证明:在噪声的统计特性不能确定时,改进的自适应Sage-Husa滤波与常规Kalman滤波相比,导弹命中目标的圆概率误差(CEP)由原来的62m提高到21m。改进的自适应Sage-Husa滤波方法对提高GPS/SINS组合导航系统的制导精度和可靠性是十分有效的。
In order to improve the accuracy of missile hitting target, GPS / SINS integrated navigation system is studied. Based on the traditional Kalman mathematical model, an improved adaptive Sage-Husa filter is proposed based on the integrated navigation system. The experimental results show that the improved adaptive Sage-Husa filter can improve the circular probability error (CEP) of the missile hit target from 62m to 21m compared with the conventional Kalman filter when the statistical characteristics of noise can not be determined. The improved adaptive Sage-Husa filtering method is very effective to improve the guidance accuracy and reliability of GPS / SINS integrated navigation system.