Event-triggered Cubature Kalman Filtering Algorithm and Its Application in the Detection Network for Fire Control

doi:10.3969/j.issn.1000-1093.2018.03.001

Abstract

Abstract: An event-triggered mechanism based on dual-criterion is designed to reduce the amount of data transfer between each detection unit and the data fusion center in a sensor network. The proposed event-triggered mechanism has been utilized to schedule the data transfer between each detection unit and the data fusion center. And a nonlinear fusion estimator based on the aforementioned event-triggered mechanism and the square-root cubature Kalman filter is proposed to obtain better estimation performance than those of existing event-triggered fusion estimation algorithms. The simulated results and experimental results show that the proposed event-triggered fusion estimator can reduce the data transfer amount compared with the fusion estimator based on periodic transmission mechanism and offer better estimation performance than those of existing event-triggered fusion estimators. Key

Key words: detectionnetworkforfirecontrol, event-triggeredmechanism, cubatureKalmanfilter, intermittentmeasurement

CLC Number:

LIANG Yuan， SHENG An-dong， WU Zhao-bin， ZHANG Jiao， QI Guo-qing， LI Yin-ya. Event-triggered Cubature Kalman Filtering Algorithm and Its Application in the Detection Network for Fire Control[J]. Acta Armamentarii, 2018, 39(3): 417-427.

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第39卷
第3期2018 年3月兵工学报ACTA
ARMAMENTARIIVol.39No.3Mar.2018

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