NDLI: Dynamic Height Measurement using Sonar Sensor Based on Single Dimension Kalman Filter in Embedded Controller

Content Provider	IEEE Xplore Digital Library
Author	Misnan, M.F. Arshad, N.H.M. Shauri, R.L.A. Razak, N.A. Thamrin, N.M. Mahmud, S.F.
Copyright Year	2012
Description	Author affiliation: Faculty of Electrical Engineering Universiti Teknologi Mara, UiTM Shah Alam, Selangor (Misnan, M.F.; Arshad, N.H.M.; Shauri, R.L.A.; Razak, N.A.; Thamrin, N.M.; Mahmud, S.F.)
Abstract	The aim of this paper is to evaluate real-time accurateness of low-altitude height measurement using a single sonar sensor via Kalman filter algorithm in embedded controller. The function of the one dimension embedded Kalman filter of sonar sensor is to reduce and resolve the error of low altitude height measurement that produced from the sensor for mapping application. Series data of varied height measurement with Kalman filter was gathered and implemented using a 16-bit micro controller unit. A structure model was constructed to allow for dynamic height measurement between ground surface and the sensor. The tabulated data are shown for comparison of accuracy and error analysis between both with Kalman and without Kalman filter. After several scanned surfaces and analysis of the recorded data, the technique shows the usefulness in height measurement application that used surface scan method which the sonar project to the ground such as UAV in order to reduce error of the detected varied height.
Starting Page	596
Ending Page	601
File Size	1095240
Page Count	6
File Format	PDF
ISBN	9781467331425
e-ISBN	9781467331432
DOI	10.1109/ICCSCE.2012.6487215
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-23
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Low altitude Sonar Kalman filter Sonar sensor Height-measurement
Content Type	Text
Resource Type	Article

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