A new method for automated noise cancellation in electromagnetic field measurement

Pawel Bienkowski, Krzysztof Burnecki, Joanna Janczura, Rafał Weron and Bartlomiej Zubrzak

No HSC/12/05, HSC Research Reports from Hugo Steinhaus Center, Wroclaw University of Science and Technology

Abstract: Electromagnetic field (EMF) measurements have limited accuracy, which is additionally impaired by meter self-noise influence. In this paper a novel noise cancellation method is proposed, based on the Hidden Markov Model (HMM) methodology. It allows to calculate the overall field intensity with a much higher accuracy than that obtained from other popular approaches, especially when EMF measurements are close to the noise level. The effectiveness of the new method is illustrated on two EMF datasets, one recorded in an urban and another in a rural area. Its performance is further evaluated in a thorough simulation study using datasets representing the two distinct noisy environments.

Keywords: Hidden Markov Model; electromagnetic field; filtering; noise cancellation (search for similar items in EconPapers)
JEL-codes: C24 C49 C51 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Forthcoming in Journal of Electromagnetic Waves and Applications 26(8-9), 1226-1236 (2012).

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http://www.im.pwr.wroc.pl/~hugo/RePEc/wuu/wpaper/HSC_12_05.pdf Original version, 2012 (application/pdf)

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