NDLI: An efficient estimation approach for moving object tracking with correlated measuring noises

Content Provider	IEEE Xplore Digital Library
Author	Hong Zhu Guixia Guan Minhua Wu
Copyright Year	2011
Description	Author affiliation: College of Information Engineering, Capital Normal University, Beijing, China (Hong Zhu; Guixia Guan; Minhua Wu)
Abstract	Due to the large deviations in the position data from GPS receiver, the precious positions of the moving objects must be calculated by Kalman filter. But the system measuring noise is colored rather than white noise, the basic Kalman filter cannot be used directly. After the positioning error is fit to be a 2-order Markov process, a new algorithm is designed to eliminate the noises' correlations, using the subtraction values between the adjacent measurements to be the new measurements. It can avoid higher-order matrix inversing, and certainly, the computation is simplified greatly and the less hardware resource is needed. The new system equations are rebuilt, and the implementation procedure is discussed in detail. The simulation result shows that the positioning and tracking precision is increased effectively and the real-time tracking requirement is available.
Starting Page	955
Ending Page	958
File Size	288942
Page Count	4
File Format	PDF
ISBN	9781457705359
e-ISBN	9781457705366
DOI	10.1109/AIMSEC.2011.6010773
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	AR model Correlation 2-order Markov process Positioning error Noise Positioning precision Markov processes Time correlation Noise measurement Mathematical model Kalman filters Global Positioning System
Content Type	Text
Resource Type	Article

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