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Light-weight Signal Processing Method for Detection of Moving Object based on Magnetometer Applications  

Kim, Ki-Taae (Department of Electronics Engineering, Dongguk University)
Kwak, Chul-Hyun (Department of Electronics Engineering, Dongguk University)
Hong, Sang-Gi (Intelligent Sensor Network Research Team, RFID/USN Research Division, IT Convergence Technology Research Division, Electronics & Telecommunications Research Institute)
Park, Sang-Jun (Intelligent Sensor Network Research Team, RFID/USN Research Division, IT Convergence Technology Research Division, Electronics & Telecommunications Research Institute)
Kim, Keon-Wook (Department of Electronics Engineering, Dongguk University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.6, 2009 , pp. 153-162 More about this Journal
Abstract
This paper suggests the novel light-weight signal processing algorithm for wireless sensor network applications which needs low computing complexity and power consumption. Exponential average method (EA) is utilized by real time, to process the magnetometer signal which is analyzed to understand the own physical characteristic in time domain. EA provides the robustness about noise, magnetic drift by temperature and interference, furthermore, causes low memory consumption and computing complexity for embedded processor. Hence, optimal parameter of proposal algorithm is extracted by statistical analysis. Using general and precision magnetometer, detection probability over 90% is obtained which restricted by 5% false alarm rate in simulation and using own developed magnetometer H/W, detection probability over 60~70% is obtained under 1~5% false alarm rate in simulation and experiment.
Keywords
Exponential average method; Magnetometer; Digital signal processing; Wireless sensor network;
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Times Cited By KSCI : 2  (Citation Analysis)
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