| New structure of Kalman filter for radar networking |
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| 引用本文： | He You,Dong Yunlong & Wang GuohongInstitute of Information Fusion,Naval Aeronautical Engineering Institute,Yantai 264001,P. R. China. New structure of Kalman filter for radar networking[J]. 系统工程与电子技术(英文版), 2005, 16(2) |
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| 作者姓名： | He You Dong Yunlong & Wang GuohongInstitute of Information Fusion Naval Aeronautical Engineering Institute Yantai 264001 P. R. China |
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| 作者单位： | He You，Dong Yunlong & Wang GuohongInstitute of Information Fusion，Naval Aeronautical Engineering Institute，Yantai 264001，P. R. China |
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| 基金项目： | ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60172033). |
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| 摘 要： | 1.INTRODUCTION Inpractice,radarsoftenoperateasynchronouslyandpro videdataatdifferentrateswithdifferentcommunication timedelays,thustheproblemofdatafusioninradarnet workingsystemisasynchronousinsteadofsynchronous. However,theresearchinthefieldofdatafusionfocuses onthesynchronousproblems,andthemeasurementsof differentsensorsarealwayspredictedatthesametimefor updatingKalmanfiltersynchronously.Thisapproachis complicatedforengineering,anditwillreducethedata ratesofthesystem,atthesametimethee…
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New structure of Kalman filter for radar networking |
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| He You,Dong Yunlong,Wang Guohong. New structure of Kalman filter for radar networking[J]. Journal of Systems Engineering and Electronics, 2005, 16(2) |
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| Authors: | He You Dong Yunlong Wang Guohong |
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| Affiliation: | Institute of Information Fusion, Naval Aeronautical Engineering Institute, Yantai 264001, P. R. China |
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| Abstract: | Due to the different data rates of the sensors and communication delays in the radar netting, the research of the asynchronous multisensor data fusion problem is more practical than that of the synchronous one. Through discussing the sequential approach, which is the classical asynchronous multisensor data fusion algorithm, a new algorithm based on distributed computation structure is proposed. The new algorithm can meet the requirement of real-time computation of netting fusion system, and is more practical for engineering compared with the classical sequential approach. Simulation results show the validity of the presented algorithm. |
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| Keywords: | multi-sensor radar networking asynchronous fusion sequential |
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