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How the Integral Operations in INS Algorithms Overshadow the Contributions of IMU Signal Denoising Using Low-Pass Filters

Published online by Cambridge University Press:  07 August 2013

Yalong Ban ,
Quan Zhang ,
Xiaoji Niu ,
Wenfei Guo ,
Hongping Zhang  and
Jingnan Liu
Yalong Ban
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, Hubei, 430079, P.R.China)
Quan Zhang
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, Hubei, 430079, P.R.China)
Xiaoji Niu*
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, Hubei, 430079, P.R.China)
Wenfei Guo
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, Hubei, 430079, P.R.China)
Hongping Zhang
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, Hubei, 430079, P.R.China)
Jingnan Liu
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, Hubei, 430079, P.R.China)
*
(E-mail: xjniu@whu.edu.cn)
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Abstract

This paper has made a comprehensive investigation of the contribution of inertial measurement unit (IMU) signal denoising in terms of navigation accuracy, through theoretical analysis, simulations and real tests. Analysis shows that the integral step in the inertial navigation system (INS) algorithm is essentially equivalent to a super low-pass filter (LPF), whose filtering strength is related to the integral time of the INS. Therefore the contribution of the IMU denoising filter is almost completely overshadowed by the effect of the integral step for normal navigation cases. The theoretical analysis result was further verified by the simulations with an example of inertial angle estimation and by real tests of INS and GPS/INS systems. Results showed that the IMU signal denoising cannot bring observable improvement to INS or GPS/INS systems. This conclusion is strictly valid in the condition that the equivalent cut-off frequency of the integral step (which equals the reciprocal of the INS working alone time) is lower than the cut-off frequency of the denoising filter, which is the usual case for INS applications (except for some static data processing such as the stationary alignment of INS).

Keywords

IMU signal denoisingINS algorithmFrequency-domain analysisGPS/INS
Type
Research Article
Information
The Journal of Navigation , Volume 66 , Issue 6 , November 2013 , pp. 837 - 858
Copyright
Copyright © The Royal Institute of Navigation 2013 

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