Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation

doi:10.1109/JAS.2023.124137

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation
	Ke Li; Shunyi Zhao; Biao Huang; Fei Liu
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2024
卷号	11 期号:5 页码:1239-1249
摘要	In the era of exponential growth of data availability, the architecture of systems has a trend toward high dimensionality, and directly exploiting holistic information for state inference is not always computationally affordable. This paper proposes a novel Bayesian filtering algorithm that considers algorithmic computational cost and estimation accuracy for high-dimensional linear systems. The high-dimensional state vector is divided into several blocks to save computation resources by avoiding the calculation of error covariance with immense dimensions. After that, two sequential states are estimated simultaneously by introducing an auxiliary variable in the new probability space, mitigating the performance degradation caused by state segmentation. Moreover, the computational cost and error covariance of the proposed algorithm are analyzed analytically to show its distinct features compared with several existing methods. Simulation results illustrate that the proposed Bayesian filtering can maintain a higher estimation accuracy with reasonable computational cost when applied to high-dimensional linear systems.
关键词	Bayesian estimation error compensation high-dimensional systems state estimation state partition
DOI	10.1109/JAS.2023.124137
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/55712
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Ke Li,Shunyi Zhao,Biao Huang,et al. Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(5):1239-1249.
APA	Ke Li,Shunyi Zhao,Biao Huang,&Fei Liu.(2024).Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation.IEEE/CAA Journal of Automatica Sinica,11(5),1239-1249.
MLA	Ke Li,et al."Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation".IEEE/CAA Journal of Automatica Sinica 11.5(2024):1239-1249.

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