【作者】 赵池航； 周百令； 赵立业；

【Author】 Zhao Chihang Zhou Bailing Zhao liye (Southeast University, Nanjing 210096, China)

【机构】 东南大学；

【摘要】 为了有效地消除包括幅度缩减和相位畸变两方面的重力异常畸变对高精度海洋重力仪测量精度的影响,得到更高精度的重力异常测量值,提出分别采用H∞滤波算法和自适应卡尔曼滤波算法来消除重力异常畸变。根据随机过程理论,分析了重力异常状态方程并将其离散化处理,根据离散化的重力异常测量系统状态方程,分别采用H∞滤波和Sage-Husa自适应卡尔曼滤波进行仿真对比实验,理论分析和仿真实验表明:H∞滤波算泫和Sage-Husa自适应卡尔曼滤波算法都具有较好的滤波收敛特性,都能在一定程度上有效地消除重力异常畸变对重力异常测量精度的影响,但在相同背景噪声条件下,自适应卡尔曼滤波的性能优于H∞滤波。更多还原

【Abstract】 Based on the theory of random process, the equation of gravitational abnormal is analyzed , and the algorithms of H-filter and adaptive Kalman filter are theoretically analyzed by contrast and advised to be applied in the gravitational abnormal measuring system in order to effectively alleviate the effect of gravitational abnormal deform on the high precise gravitational measurement. Sage-Husa algorithm of adaptive Kalman filter is used in the filtering system so that filtering divergence can be avoided. The results of theoretical analysis and emulation experiments indicate that the H-filter and adaptive Kalman filter are good at alleviating the effect of gravitational abnormal deform, but adaptive Kalman filter is better than H-filter in filtering behavior.更多还原