[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 4, Issue 3 (12-2016) ::
jgit 2016, 4(3): 17-28 Back to browse issues page
Global Positioning System (GPS) Acceleration Smoothing
Mohsen Feizi Mr., Yazdan Amerian Dr. *
K.N.Toosi University of Technology
Abstract:   (2456 Views)

Integration of global positioning system (GPS) and inertial navigation system (INS) is used in airborne gravimetry to gravity field recovery. Since GPS computed position is noisy therefore the GPS acceleration which is the result of twice differentiation of GPS position will be too noisy as well. In this paper IIR low-pass filter and Kalman filter are used to smoothing the GPS acceleration and their result compared to B-spline smoother result. B-spline smoothing accuracy is reported about 1mGal in this paper data, therefore B-spline smoothing considered as a reference smoothing method. The correlation of IIR low-pass filter and Kalman filter results with B-spline smoothing result is about 97.55 and 99.83 percent, respectively. It shows that the Kalman filter result is closer to B-spline smoother. On the other hand, along with ease of design of IIR low-pass filter some other advantages such as fast computing algorithm in signal processing unlimited response hit and less memory requirement are worth mentioning. Therefore, in project with huge among of data the IIR low-pass filter could be efficient and causes the time and cost saving. Mentioned smoothing methods can also be used in INS instrumental noise reduction. Therefore, less accurate INS can be used in integration with GPS, which causes the INS cost saving and project productivity promotion.

Keywords: B-spline, IIR Digital Filter, Kalman Filter, GPS Acceleration, Signal Noise Reduction
Full-Text [PDF 857 kb]   (898 Downloads)    
Type of Study: Research | Subject: Geodesy
Received: 2016/04/21 | Accepted: 2016/05/11 | Published: 2017/02/28
Send email to the article author



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Feizi M, Amerian Y. Global Positioning System (GPS) Acceleration Smoothing . jgit. 2016; 4 (3) :17-28
URL: http://jgit.kntu.ac.ir/article-1-268-en.html


Volume 4, Issue 3 (12-2016) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
Persian site map - English site map - Created in 0.04 seconds with 29 queries by YEKTAWEB 4312