Title :
Improving the Performance of an Accelerometer by Using a BLMS Adaptive Filter
Author :
Hernandez, Wilmar ; de Vicente, Javier ; Sergiyenko, Oleg ; Fernández, Eduardo
Author_Institution :
EUIT de Telecomun., Univ. Politec. de Madrid, Madrid, Spain
Abstract :
In this paper, the performance of a sensor system based on a piezoresistive accelerometer for automotive applications was improved by using a block least-mean-square (BLMS) adaptive filter. The accelerometer was tested for a multi-frequency acceleration excitation and the results of the experiment showed that for this type of excitation, which is typical of real-life problems in today´s cars, the performance of the BLMS adaptive filter was better than the one of conventional filter.
Keywords :
accelerometers; adaptive filters; automotive engineering; least mean squares methods; piezoresistive devices; BLMS adaptive filter; automotive applications; block least-mean-square adaptive filter; multi-frequency acceleration excitation; piezoresistive accelerometer; Accelerometers; Adaptive filters; Band pass filters; Digital filters; Filtering theory; Noise; accelerometer; adaptive filtering; conventional filtering;
Conference_Titel :
Sensor Device Technologies and Applications (SENSORDEVICES), 2010 First International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4244-7474-5
DOI :
10.1109/SENSORDEVICES.2010.48
