Tuning of a Wavelet Filter for Miniature Accelerometers Denoising based Joint Symbolic Dynamics (JSD) Method

Autor: Ioana Raluca EDU, Felix Constantin ADOCHIEI, Teodor Lucian GRIGORIE, Ruxandra Mihaela BOTEZ
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: INCAS Bulletin, Vol 7, Iss 2, Pp 71-80 (2015)
Druh dokumentu: article
ISSN: 2066-8201
2247-4528
DOI: 10.13111/2066-8201.2015.7.2.7
Popis: The paper exposes a wavelet filtering mechanism related to the noise suppression in the acceleration sensors, with direct application in the strap-down inertial navigation systems. The presented procedure is related to the actual trend in the inertial navigation field to use miniaturized inertial measurement units, which includes MEMS or NEMS sensors. Beside the already wavelet filtering used method, based on different thresholding mechanisms, the here proposed work refers to the use of an alternative tuning mechanism for the wavelet filters, based on the Joint Symbolic Dynamics (JSD) method. The main idea of the proposed method is to process and analyze signals received from the sensors in the inertial measurement unit of the navigator by using the Wavelet transform until optimal levels of decomposition are established and the useful signals are achieved.
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