摘要
惯性导航系统动基座对准是机载或舰载战术导弹发射前必须完成的程序。利用最优平滑技术对惯导系统动基座对准效果进行评估,是分析导弹系统的制导精度和惯导系统自身器件性能的有效方法。本研究针对固定点平滑算法所适应的对象和平滑算法的特点,推导了利用卡尔曼滤波扩维方法来导出固定点平滑算法的方法,并分析了其特点。该平滑算法在某型弹载惯导系统空中对准精度评估中,取得了令人满意的结果。
Before launching an airborne tactical missile guided by inertial navigation(INS), in-flight alignment must be finished for its INS. Using optimal smoothing technology to test and evaluate the accuracy of in-flight alignment is an available method to analysis the performance of INS. A new fixed-point smoother algorithm is proposed in this paper, and the property of the fixed-point smother is analyzed. The application of the new smoothing algorithm to testing and evaluation of INS in-flight alignment is introduced, and the test results show the effective- ness of the presented algorithm.
出处
《测控技术》
CSCD
2004年第11期74-76,共3页
Measurement & Control Technology
关键词
卡尔曼滤波
固定点平滑算法
空中对准
Kalman filter
the fixed-point smoother
in-flight alignment
