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Main positions:南航和美国南加州大学国际联合卓越研究中心主任,全国惯性技术与产品标准化工作组委员,中国电子学会科技咨询委员会委员,中国惯性技术学会惯性系统与测量专业委员会委员,中国宇航学会空间遥感专业委员会委员,《兵工学报》和《中国空间科学技术》编委
Other Post:Aerospace Science and Technology最佳审稿人贡献奖、航空学报优秀审稿专家
Degree:Doctoral Degree in Engineering
School/Department:College of Automation Engineering

ZHI XIONG

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Gender:Male

Education Level:南京航空航天大学

Alma Mater:南京航空航天大学

Paper Publications

A Method of Inertial Integrated Navigation Based on Low Cost MEMS Sensors
Date of Publication:2018-01-01 Hits:

Affiliation of Author(s):自动化学院
Journal:2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS)
Key Words:Pedestrian navigation Zero Velocity Update Kalman Filter
Abstract:With the rapid development of computer technology and communication technology, pedestrian navigation system(PNS) began to enter the real practical stage. PNS is a method of track reckoning based on strapdown inertial navigation system. However, inertial navigation system is prone to error accumulation with time, resulting in low positioning accuracy and practicability. Low cost inertial measurement unit(IMU) device has low accuracy, and the inertial navigation system has accumulated error, and the system is easy to diverge. Apart from those above, civil GPS accuracy is not stable, and poor GPS signal in a multipath environment may lead to errors, and GPS signals can not be used indoors. It is necessary to design a kind of navigation method to adapt low cost IMU. In this paper, it is presented that a foot inertial navigation system which is based on low cost MEMS inertial sensors is presented. According to the characteristics of pedestrian zero-velocity during walking steady state, an inertial navigation method based on Zero Velocity Update (ZUPT) is adopted. This paper uses air pressure, GPS to assist ZUPT method to correcting navigation parameters through Kalman filter. Based on the implementation scheme of pedestrian navigation system proposed in this paper, the steady state of walking were experimentally verified through the actual test data. The experimental results show that the proposed method can provide efficient, reliable and continuous position and navigation services
ISSN No.:2153-358X
Translation or Not:no
Date of Publication:2018-01-01
Co-author:王钲淳,F70206545,许建新,黄欣,徐丽敏
Correspondence Author:ZHI XIONG
Date of Publication:2018-01-01