摘要
为了有效地消除重力异常畸变对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,根据随机过程理论,分析了重力异常状态方程,并对H∞滤波算法和自适应卡尔曼滤波算法进行了理论对比分析,将其应用到消除重力异常畸变系统中。为了避免滤波发散,自适应卡尔曼滤波采用降阶的Sage-Husa算法。理论分析和仿真实验表明:H∞滤波算法和自适应卡尔曼滤波算法都具有较好的滤波收敛特性,并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,但自适应卡尔曼滤波的性能优于H∞滤波。
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. The algorithms are applied in the gravitation-anomaly measuring system to alleviate the effect of gravitational anomaly on the high-precision gravitation measurement. The Sage-Husa algorithm of adaptive Kalman filter is used in the filtering system so that the filtering divergence can be avoided. The results of theoretical analysis and emulation experiments indicate that the H∞filter and the adaptive Kalman filter are both effective in alleviating the effect of gravitational anomaly, but the adaptive Kalman filter is better than H∞filter in filtering behavior.
出处
《中国惯性技术学报》
EI
CSCD
2003年第3期34-38,共5页
Journal of Chinese Inertial Technology
