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Particle filter for estimating multi-sensor systems using one- or two-step delayed measurements
文献类型:期刊
作者:Zuo, Junyi[1]  Guo, Qing[2]  Ling, Zhigang[3]  
机构:[1]Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R China.;
[2]Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R China.;
[3]Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China.;
通讯作者:Zuo, JY (reprint author), Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R China.
年:2017
期刊名称:AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS影响因子和分区
卷:82
页码范围:265-271
增刊:正刊
收录情况:SCI(E)(WOS:000426404400031)  EI(20174804460433)  
所属部门:航空学院
人气指数:112
浏览次数:111
基金:National Natural Science Foundation of China [61473227, 61471166]; Fundamental Research Funds for the Central Universities [3102015ZY001]; Aeronautical Science Foundation of China [20151353018]; Aerospace Technology Support Fund of China [2014-HT-XGD]; Natural Science Foundation of Shaanxi Province, China [2015JM6304]
关键词:Particle filter; Nonlinear system; State estimation; Delayed measurement
摘要:
In this paper, we focus on designing a particle filter for a class of nonlinear discrete-time stochastic systems, where the multi-sensor measurements can be randomly and asynchronously delayed by one- or two-sampling periods. Under the independence assumption of multi-sensor delays, asynchronous delay model is built by using a separate set of Bernoulli random variables to describe the relationship between the ideal measurement and the actual measurement for each sensor. Based on the model, a new ...More
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