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Smart pixels for neural signal processing of an optical-fiber sensor system
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Paper Abstract

Optical fiber sensor output signals are usually electronically detected and transmitted to the control unit through many communications channels. 1'he signals may be also transformed by microprocessor and transmitted through one channel with high transmission rate. Optical fiber sensor network, for example for environmental monitoring [1], may have so many sensors that such method of data transmission is not sufficient. Hence an idea of optical fiber sensor signal processing by use of an optoelectronic neural system and then transmission of such prepared data to the control unit with help an ordinary transmission link seems to be very promising. In general, there are several thousands types of optical fiber sensors with different types of output signals. Most of them. belonging to either intensity or phase sensors, have similar output signals (Fig. 1) The characteristics shown in Fig. I may be more or less linear and symmetrical with different slopes but they are almost the same for such different variables like pH, temperature proximity, strain, angular movement etc. [2]. Such output signals cannot be directly applied for neural processing without additional transformation by use for example two liquid crystal cells (Fig. 2). One of them (LC I in Fig.2) should have threshold transmission characteristics. The second one (LC II) changes transmission level according to requirements of neural weight. In our work we apply only one liquid crystal cell for each sensor with especiall designed electronic control system playing role of smart pixel in neural processing.

Paper Details

Date Published: 22 May 1998
PDF: 5 pages
Proc. SPIE 3490, Optics in Computing '98, (22 May 1998); doi: 10.1117/12.308857
Show Author Affiliations
Andrzej W. Domanski, Warsaw Univ. of Technology (Poland)
Ryszard Buczynski, Warsaw Univ. of Technology (Poland)
Miroslaw A. Karpierz, Warsaw Univ. of Technology (Poland)
Witold Konopka, Warsaw Univ. of Technology (Poland)
Tomasz Nasilowski, Warsaw Univ. of Technology (Poland)
Marcin Swillo, Warsaw Univ. of Technology (Poland)
Marek Wojciech Sierakowski, Warsaw Univ. of Technology (Poland)
Tomasz R. Wolinski, Warsaw Univ. of Technology (Poland)

Published in SPIE Proceedings Vol. 3490:
Optics in Computing '98
Pierre H. Chavel; David A. B. Miller; Hugo Thienpont, Editor(s)

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