【作者】 赵池航； 周百令； 李坤宇； 赵立业；

【Author】 ZHAO Chi-hang, ZHOU Bai-ling, LI Kun-yu, ZHAO Li-ye (Department of Instrument Science and Technology, Southeast University, Nanjing 210096)

【机构】 东南大学仪器科学与工程系；

【摘要】 为了有效地消除异常重力场对高性能惯性导航系统的影响,抑制惯导系统中运动载体位置和速度误差的发散,提高惯性导航系统的精度,必须采用高精度重力仪实时测量重力异常值, 但是,重力异常数据通常是强噪声背景下的微弱信号数据,本文在对小波包分解理论分析的基础上,首次将其应用到强噪声背景下重力异常数据处理中,并与小波分解进行了对比;以实际数据与处理后数据偏差平方和的平均数作为衡量数据处理方法性能的指标,理论分析和仿真实验表明小波分解和小波包分解都能在一定程度上能有效地抑制强噪声对高精度海洋重力仪测量精度的影响,但在同种背景条件下,小波包分解的性能优于小波分解。更多还原

【Abstract】 The value of Gravitational abnormal must be measured timely and accurately by precise marine Gravimeter in order to improve the precision of inertial navigation system, but the signal of Gravitational abnormal value is commonly faint and seriously polluted by noise; the theory of wavelet packet and wavelet is analyzed and firstly applied to process the Gravitational abnormal data in the paper; The average bias square between the true data and processed data is used as the rule of evaluating the performance of the data processing methods, theoretical analysis and emulation experiments indicate that wavelet and wavelet packet are effective for alleviating the effect of noise on Gravitational value, but the performance of wavelet packet excels wavelet.更多还原