A ZUPT method based on SVM regression curve fitting for SINS

Author

Li Xiaofang ; Xie Ling ; Chen Jiabin ; Han Yongqiang ; Song Chunlei

Author_Institution

Sch. of Autom., Beijing Inst. of Technol., Beijing, China

fYear

2014

fDate

28-30 July 2014

Firstpage

754

Lastpage

757

Abstract

Zero velocity update (ZUPT) is an important error control method for strap-down inertial navigation system (SINS). Conic fitting as a frequently-used ZUPT method is simple and effective, but makes low use of the velocity samples gained during the stops of SINS, and requires SINS to stop frequently. In order to solve these problems, a new ZUPT method based on support vector machine (SVM) regression curve fitting for SINS is proposed. The simulation results demonstrate that the new ZUPT method can improve the positioning accuracy and maneuverability of SINS, and has high robustness compared with conic fitting.

Keywords

angular velocity control; curve fitting; inertial navigation; inertial systems; regression analysis; support vector machines; SINS; SVM regression curve fitting; ZUPT method; conic fitting; error control method; maneuverability; positioning accuracy; strap-down inertial navigation system; support vector machine; zero velocity update; Accuracy; Curve fitting; Fitting; Kernel; Silicon compounds; Simulation; Support vector machines; SINS; SVM regression; ZUPT; curve fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6896721

Filename

6896721