Description: Based on statistical decision rules of the number of adaptive sampling particle filter algorithm, in defining the basis for comprehensive performance risk function derived particle number and the filtering error variance of the relationship between the type, makes the tracking process, it can be depending on the target-line adjustment of the motor case particle number in order to achieve optimal tracking performance. In the Matlab simulation platform, carried out the flicker noise under the maneuvering target tracking experiment results show that the number of particle filter algorithm for adaptive sampling is an effective method of maneuvering target tracking, tracking performance than the elementary particle filter algorithm increases 3.17-fold.
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自适应采样数粒子滤波算法.pdf
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