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中文摘要：
为验证导航模型在GPS信号更新频率较低的情况下的导航能力，给出了GPs／INs组合导航滤波模型。载体运动过程中，分别使信号中断5S、10s、15s。通过实验得出，GPS信号中断时间过长（10s以上），GPS信号恢复后，Kalman滤波器会产生发散现象。引入支持向量机，提出利用SVM内插GPS信号提高信息更新频率消除组合导航滤波器的发散。结果表明，GPS信号中断时间过长导致组合导航系统滤波发散的情况下，通过SVM内插GPS数据提高GPS更新频率，可以有效地抑制滤波发散。提高导航的准确性。
英文摘要：
A GPS/INS integrated navigation model is introd tion ability in the condition of low GPS signal update freque were chosen 5 s, 10 s and 15 s during the vehicle motion, signal interruption interval（above 10 s） will lead to the GPS signal reconstruction. Considering that the integrate uced in order to verify the naviga- ncy. The GPS signal break period which has demonstrated that long Kalman filtering divergence after d navigation model has favorable effect in high GPS signal update frequency, a new method is proposed to prevent the filtering divergence. The approach adopted extensively is called support vector machine （SVM） inter- polating the GPS signal based on vehicle movement discipline. These findings of the research have led the author to the conclusion that SVM is able to increase the GPS signal update fre- quency to prevent the filtering divergence caused by long GPS signal interruption interval and strengthen the navigation accuracy.
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