青岛科技大学  English 
曹梦龙
赞  

教师拼音名称:caomenglong

手机版

访问量:

最后更新时间:..

An Application of Optimized Bayesian Estimation Data Fusion Algorithm in Tire Pressure Monitoring System

关键字:

摘要:In order to improve the accuracy of the pressure and temperature data measured in the tire pressure monitoring system(TPMS), an optimized Bayesian estimation data fusion method is proposed. The systematic scheme is designed, which can fulfill the requirements of system function. The Bayesian estimation is used to fuse the multi-sensor data to reduce the uncertainty of the measurement. Combining the Kalman filter eliminates the noise signal to obtain reliable data information. Experimental results show that the proposed algorithm can effectively suppress noise and take precise pressure and temperature values.

卷号:

期号:

是否译文:

崂山校区 - 山东省青岛市松岭路99号   
四方校区 - 山东省青岛市郑州路53号   
中德国际合作区(中德校区) - 山东省青岛市西海岸新区团结路3698号
高密校区 - 山东省高密市杏坛西街1号   
济南校区 - 山东省济南市文化东路80号©2015 青岛科技大学    
管理员邮箱:master@qust.edu.cn