摘要
为减小陀螺随机误差对导航精度的影响,将小波变换和高阶AR模型引入GNSS/INS数据处理,通过小波分析消除大部分高频噪声,利用高阶AR模型描述惯导信号中的相关噪声。实测数据分析表明,该方法在卫星信号失锁段能够提高导航精度,是一种有效的GNSS/INS数据处理方法。
In order to reduce gyroscope random error,wavelet transform and higher-order AR models were used to process GNSS/INS data. The most of high frequency noise was eliminated by wavelet analysis, and higher-order AR model was used to describe the correlated noise. The results indicated that the method was effective for impro- ving navigation accuracy during GPS outage.
出处
《大地测量与地球动力学》
CSCD
北大核心
2014年第6期144-147,共4页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金项目(41070411)
