摘要
讨论当前三种动态数据处理模型(最小二乘法、卡尔曼滤波法及H∞滤波法)的特性,分析比较这三种模型各自的优点,并通过实测数据和相关软件来对这三种模型各自的应用前提、范围和应用效果进行试验。实验结果表明:当载体处于匀速状态时,这三种模型的精度相当;当载体处于机动加速度时,H∞滤波精度最好,最小二乘次之,卡尔曼滤波最差。
The characteristics of the three kinds of GPS kinematical data processing model （ Least Square/LS, Kalman filtering and H∞ filtering ） are discussed. The superiority of each model is compared and analyzed. The applying precondition, range and effects of the three models are performed experimentally by real observational data and pertinent data processing software. Experimental results show that the three models are equivalent on accuracy when mobile platform is in uniform motion; when the mobile platform is in stochastic acceleration, the accuracy of H~ filtering is the best, LS is the second, and Kalman filtering is the worst.
出处
《测绘科学》
CSCD
北大核心
2008年第4期29-31,共3页
Science of Surveying and Mapping
基金
国家自然科学基金项目(40574002)
广西自然科学基金项目(0728097)
