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A neural network for fast-response ultrasonic distance sensors

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4 Author(s)
Ferraris, F. ; Dipartimento di Elettronica, Politecnico di Torino, Italy ; Grimaldi, U. ; Parvis, M. ; Graziani, S.

Ultrasonic techniques can provide a cost effective solution for distance measurements, but frequently suffer from poor resolution and acoustic noise. A new approach based on neural networks to process the echo signal is described. It permits the improvement of the resolution of distance measuring systems by employing ultrasonic techniques and requires a negligible computing time, even though the network is implemented without special purpose hardware. The results obtained with inexpensive piezoelectric transducers and a neural network are described. The neural network performance is compared with that of traditional techniques. A sub-millimeter resolution is obtained even in the presence of some acoustic noise, which could prevent other simple detection strategies

Published in:

Instrumentation and Measurement Technology Conference, 1993. IMTC/93. Conference Record., IEEE

Date of Conference:

18-20 May 1993