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Sample Points Optimization Technique of Nonlinear Deterministic Sampling Filter
Received date: 2015-06-07
Online published: 2025-05-30
The selection of sample points plays a decisive role on the accuracy and stability of filter during the filter process of deterministic sampling filters. In order to improve the numerical stability of the filter, the obtained sampling points was optimized by covariance matrix decomposition, which solves the problem of the numerical influence on the distance between sample points and the mean Then the appropriate orthogonal transformation is used to eliminate the non-local effect, and it will not change the accuracy of filter under invariant theory. Finally, the effectiveness of the sample points optimization technique is validated through the simulation of a tracking problem
WU Qingpo , CONG Yuancai , ZHOU Shaolei . Sample Points Optimization Technique of Nonlinear Deterministic Sampling Filter[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2016 , 36(5) : 137 -141 . DOI: 10.15892/j.cnki.djzdxb.2016.05.035
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