IMM自适应估计在GPS定位中的应用

Genshe Chen, M. Harigae
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引用次数: 16

摘要

采用交互多模型(IMM)自适应估计器提高GPS接收机在各种动态条件下的定位性能。每个卡尔曼滤波器被认为是局部有效的,适用于由滤波器条件值定义的工作空间的一个区域。三种动态模型分别对应静止、低动态和高动态的工作空间。数值研究证明了这一概念的可行性。与以前的方法相比,新的基于IMM的方法提高了GPS定位精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using IMM adaptive estimator in GPS positioning
The interacting multiple model (IMM) adaptive estimator is used as a means of improving the GPS receiver positioning performance in various dynamic conditions. Each Kalman filter is considered to be locally valid, applicable over a region of the working space defined by the filter conditioning value. Three dynamic models correspond to the stationary, low dynamic, and high dynamic working space. A numerical study is used to demonstrate the viability of the concept. In comparison with previous methodology, the new, IMM based method leads to an improvement in GPS position accuracy.
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