期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2016
卷号：14
期号：2A
页码：223-230
DOI：10.12928/telkomnika.v14i2A.4331
语种：English
出版社：Universitas Ahmad Dahlan
摘要：Aiming at drunk-driving test system of traditional single-point automobile which has neglected the influence of flow of in-car airflow on test precision and accuracy, this paper puts forwards in-car drunk-driving measurement and control method that is based on fusion technology of multi-sensors by exploration. Based on information fusion algorithm of D-S proof theory design, main hardware system and working mode of drunk-driving measurement and control system has been designed; scheme design of automobile drunk-driving test and control system that is based on multi-sensor test has been completed. When system model of cubature kalman smoothing is instable or abnormal, smoothing divergency will occur. In order to solve this problem, fusion algorithm of self-adaptive cubature kalman smoothing is put forwarded. Noise system statistical estimator has been designed to carry out on-line real-time estimation about statistical characteristics of noise; smoothing process shall be modified by adopting modified function when measurement is abnormal, so that precision of smoothing estimation and suppression ability for smoothing divergency are both improved.
其他摘要：Aiming at drunk-driving test system of traditional single-point automobile which has neglected the influence of flow of in-car airflow on test precision and accuracy, this paper puts forwards in-car drunk-driving measurement and control method that is based on fusion technology of multi-sensors by exploration. Based on information fusion algorithm of D-S proof theory design, main hardware system and working mode of drunk-driving measurement and control system has been designed; scheme design of automobile drunk-driving test and control system that is based on multi-sensor test has been completed. When system model of cubature kalman smoothing is instable or abnormal, smoothing divergency will occur. In order to solve this problem, fusion algorithm of self-adaptive cubature kalman smoothing is put forwarded. Noise system statistical estimator has been designed to carry out on-line real-time estimation about statistical characteristics of noise; smoothing process shall be modified by adopting modified function when measurement is abnormal, so that precision of smoothing estimation and suppression ability for smoothing divergency are both improved.
关键词：Kalman smoothing;Drunk-driving measurement and control;Self-adaptive;Modified function;Data fusion
