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A differential geometric approach to nonlinear filtering: theprojection filter

机译:非线性滤波的差分几何方法:投影滤波器

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摘要

This paper presents a new and systematic method of approximating exact nonlinear filters with finite dimensional filters, using the differential geometric approach to statistics. The projection filter is defined rigorously in the case of exponential families. A convenient exponential family is proposed which allows one to simplify the projection filter equation and to define an a posteriori measure of the local error of the projection filter approximation. Finally, simulation results are discussed for the cubic sensor problem
机译:本文提出了一种新的系统方法,采用差分几何方法对统计数据进行精确的非线性滤波器与有限维滤波器的逼近。对于指数族,必须严格定义投影滤镜。提出了一种方便的指数族,其允许简化投影滤波器方程并定义投影滤波器近似的局部误差的后验度量。最后,讨论了立方传感器问题的仿真结果

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