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ALGORITHM FOR DETECTING MECHANICAL TAP BY THE SIGNALS OF TRIAXIAL MEMS ACCELEROMETER IN IDENTIFICATION PROBLEM

I. S. Kholopov, PhD (technical sciences), associate professor, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.

The aim of the work is the development of an algorithm for identification by mechanical action, perceived by uncalibrated digital triaxial MEMS accelerometer. It is shown that for consumer accuracy triaxial accelerometers (with serial analog-to-digital conversion of signals from differential capacitors of each sensitivity axis) there is a high probability of false estimation of mechanical action primary direction when it is determined both by the maximum of acceleration signal and by the maximum of its derivative. The paper considers an identification algorithm in which the directions of elementary effects are estimated from the sign of acceleration derivative at the time of the first exceeding of detection threshold and the maximum of the sum of acceleration sample modules along sensitivity axis. Accumulation of the sum is carried out when the threshold is exceeded for at least one of the sensor axes. During semi-real experiment the achieved probability of correct identification was more than 0.7.

Key words: MEMS accelerometer, threshold processing, discrete derivative, correlator, Neyman – Pearson criteria.

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