High-accuracy ultrasonic positioning through optimization of the extended Kalman filter algorithm

作     者：JunZheng, Li Da, Yuan Bin, Wang 

作者机构：School of Information Science and Engineering Shandong Normal University Jinan China Key Laboratory of Intelligent Information Processing in Universities of Shandong Shandong Institute of Business and Technology Yantai China 

出 版 物：《Computer Modelling and New Technologies》 (Comput. Model. New Technol.)

年 卷 期：2014年第18卷第12期

页      面：277-283页

核心收录：

主　　题：Intrinsic mode functions 

摘      要：The application of extended Kalman filter algorithm to ultrasonic positioning systems has difficulty in meeting the requirements of precision positioning because the algorithm produces a new calculation error when the system is linearized. Modal optimization of the extended Kalman filter algorithm is thus investigated. The received ultrasonic signal is first decomposed by empirical mode decomposition, the intrinsic mode functions that best represent the original signal are then selected to restructure the waveform, and the transition time is finally corrected. Meanwhile, the ultrasonic wave velocity can be corrected. Traditional ultrasonic positioning can also be improved by combining with a radio-frequency module. It is experimentally shown that the proposed method limits positioning error to within ±5 cm and within ±1 cm after multiple recursions.