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Special Issue, Vol. 3, December 2008, pp.14-24

 

 

Bullet

 

Adaptive Subband Filtering Method for MEMS Accelerometer Noise Reduction

 

Piotr PIETRZAK, Barosz PEKOSLAWSKI, Maciej MAKOWSKI,
Andrzej NAPIERALSKI

Department of Microelectronics and Computer Science,

Technical University of Lodz, Poland, www.dmcs.p.lodz.pl

 

 

Received: 31 October 2008   /Accepted: 7 November 2008   /Published: 8 December 2008

 

Abstract: Silicon microaccelerometers can be considered as an alternative to high-priced piezoelectric sensors. Unfortunately, relatively high noise floor of commercially available MEMS (Micro-Electro-Mechanical Systems) sensors limits the possibility of their usage in condition monitoring systems of rotating machines. The solution of this problem is the method of signal filtering described in the paper. It is based on adaptive subband filtering employing Adaptive Line Enhancer. For filter weights adaptation, two novel algorithms have been developed. They are based on the NLMS algorithm. Both of them significantly simplify its software and hardware implementation and accelerate the adaptation process.

 

The paper also presents the software (Matlab) and hardware (FPGA) implementation of the proposed noise filter. In addition, the results of the performed tests are reported. They confirm high efficiency of the solution.

 

Keywords: MEMS accelerometer, Adaptive subband filtering, NLMS algorithm, Vibration measurement, Hardware filter

 

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