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| Suboptimal distributed Kalman filtering fusion with feedback | |
| 作者姓名： | Zhao Minhua Zhu Zhuanmin Shi Meng Peng Qinke & Huang Yongxuan. School of Economics & Finance Xi'an Jiaotong Univ. Xi'an P. R. China . School of Science Xi'an Jiaotong Univ. Xi'an P. R. China . School of Electronics and information Engineering Xi'an Jiaotong Univ. Xi'an P. R. China |
| 作者单位： | Zhao Minhua 1，3，Zhu Zhuanmin2，Shi Meng3，Peng Qinke3 & Huang Yongxuan31. School of Economics & Finance，Xi'an Jiaotong Univ.，Xi'an 710049，P. R. China;2. School of Science，Xi'an Jiaotong Univ.，Xi'an 710049，P. R. China;3. School of Electronics and information Engineering，Xi'an Jiaotong Univ.，Xi'an 710049，P. R. China |
| 基金项目： | ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60175015). |
| 摘 要： | 1.INTRODUCTION Theoptimalfilteringisamethodtofindanoptimal stateestimatorofunknownrealsignalorstatefrom observingsignalwithnoise.Thesekindsofproblems arisewidelyinthefieldsofsignalprocessing,com municationandcontrol.Manyadvancedsystemsnow makeuseofalargenumberofsensorsinpracticalap plicationsrangingfromaerospaceanddefence,roboticsandautomationsystemstoincreasetherelia bilityandaccuracyofsystem.Itisimportanttode terminetheoptimalstateestimators.Itcanberealizedtoincorporateobservation equat… |
Suboptimal distributed Kalman filtering fusion with feedback |
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| Zhao Minhua ,,Zhu Zhuanmin,Shi Meng,Peng Qinke & Huang Yongxuan. School of Economics & Finance,Xi''''an Jiaotong Univ.,Xi''''an ,P. R. China,. School of Science,Xi''''an Jiaotong Univ.,Xi''''an ,P. R. China,. School of Electronics and information Engineering,Xi''''an Jiaotong Univ.,Xi''''an ,P. R. China.Suboptimal distributed Kalman filtering fusion with feedback[J].Journal of Systems Engineering and Electronics,2005,16(4). | |
| Authors: | Zhao Minhua Zhu Zhuanmin Shi Meng Peng Qinke Huang Yongxuan |
| Institution: | 1. School of Economics & Finance, Xi'an Jiaotong Univ., Xi'an 710049, P. R. China;School of Electronics and information Engineering, Xi'an Jiaotong Univ., Xi'an 710049, P. R. China 2. School of Science, Xi'an Jiaotong Univ., Xi'an 710049, P. R. China 3. School of Electronics and information Engineering, Xi'an Jiaotong Univ., Xi'an 710049, P. R. China |
| Abstract: | In order to improve the accuracy of fusion algorithm, feedback is introduced into Kalman filtering fusion. Fusion center broadcasts its latest estimated states to the local sensors, which can improve the performance of local tracking error through reducing the covariance of each local error, and only needs calculating the trace of error variance matrices without calculating the inverse of error variance matrices. Simulation results show that it can reduce the computational complexity and the covariance of error, and it is convenient for engineering applications. |
| Keywords: | feedback Kalman filtering data fusion |
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