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

Journal Title: INCAS BULLETIN - Year 2015, Vol 7, Issue 2

Abstract

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.

Authors and Affiliations

EDU Ioana Raluca , ADOCHIEI Felix Constantin , GRIGORIE Teodor Lucian , BOTEZ Ruxandra Mihaela

Keywords

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  • EP ID EP105928
  • DOI 10.13111/2066-8201.2015.7.2.7
  • Views 110
  • Downloads 0

How To Cite

EDU Ioana Raluca, ADOCHIEI Felix Constantin, GRIGORIE Teodor Lucian, BOTEZ Ruxandra Mihaela (2015). Tuning of a Wavelet Filter for Miniature Accelerometers Denoising based Joint Symbolic Dynamics (JSD) Method. INCAS BULLETIN, 7(2), 71-80. https://europub.co.uk./articles/-A-105928