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A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching
Quanbo Ge; Yang Cheng; Hong Li; Ziyi Ye; Yi Zhu; Gang Yao
发表期刊IEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2024
卷号11期号:6页码:1424-1437
摘要For accurately identifying the distribution characteristic of Gaussian-like noises in unmanned aerial vehicle (UAV) state estimation, this paper proposes a non-parametric scheme based on curve similarity matching. In the framework of the proposed scheme, a Parzen window (kernel density estimation, KDE) method on sliding window technology is applied for roughly estimating the sample probability density, a precise data probability density function (PDF) model is constructed with the least square method on K-fold cross validation, and the testing result based on evaluation method is obtained based on some data characteristic analyses of curve shape, abruptness and symmetry. Some comparison simulations with classical methods and UAV flight experiment shows that the proposed scheme has higher recognition accuracy than classical methods for some kinds of Gaussian-like data, which provides better reference for the design of Kalman filter (KF) in complex water environment.
关键词Curve similarity matching Gaussian-like noise non-parametric scheme parzen window
DOI10.1109/JAS.2024.124359
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/56459
专题学术期刊_IEEE/CAA Journal of Automatica Sinica
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GB/T 7714
Quanbo Ge,Yang Cheng,Hong Li,et al. A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(6):1424-1437.
APA Quanbo Ge,Yang Cheng,Hong Li,Ziyi Ye,Yi Zhu,&Gang Yao.(2024).A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching.IEEE/CAA Journal of Automatica Sinica,11(6),1424-1437.
MLA Quanbo Ge,et al."A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching".IEEE/CAA Journal of Automatica Sinica 11.6(2024):1424-1437.
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