Research on Kalman Filter Parallel Computing Method Based on OpenMP

被引:0
|
作者
Sheng, Panlong [1 ]
He, Pengju [1 ]
Xu, Yimei [1 ]
Zhao, Xiangmei [1 ]
机构
[1] Xian Eurasia Univ, Sch Informat Engn, Xian, Peoples R China
来源
2024 4TH INTERNATIONAL CONFERENCE ON ELECTRONIC MATERIALS AND INFORMATION ENGINEERING, EMIE 2024 | 2024年
关键词
component; Kalman filter; OpenMP; parallel computing; signal processing;
D O I
10.1109/EMIE61984.2024.10616896
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Kalman filtering is an algorithm widely used in state estimation of dynamic systems, and its wide applications include navigation, tracking and control systems. However, the computational complexity of Kalman filtering makes it inefficient when processing large-scale data. This paper studies the parallel processing method of Kalman filtering, and improves the execution efficiency of the algorithm by dividing the filtering process into blocks and parallelizing them. Through experiments on simulated data of sinusoidal signals plus Gaussian white noise, the significant advantages of parallel processing methods in computing time are verified, and the influence of block processing on filtering results is discussed.
引用
收藏
页码:125 / 128
页数:4
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