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Data Acquisition and Signal Processing for Smart Sensors
book

Data Acquisition and Signal Processing for Smart Sensors

by Nikolay V. Kirianaki, Sergey Y. Yurish, Nestor O. Shpak, Vadim P. Deynega
April 2002
Intermediate to advanced
320 pages
9h 18m
English
Wiley
Content preview from Data Acquisition and Signal Processing for Smart Sensors

8

MULTICHANNEL INTELLIGENT AND VIRTUAL SENSOR SYSTEMS

In most measuring and control systems, a large number of sensors is connected to a central computer or a microcontroller. The number of frequency–time-domain sensors is continuously increasing in different applications of sensor networks. However, the software interface from the frequency–time domain to the digital domain can be a complicated design problem.

8.1 One-Channel Sensor Interfacing

A sensor network with multilayer architecture, for example, as shown in Figure 8.1, is widely used in systems with distributed intelligence like a modern car. The advantage of such an architecture is that high layers use the information from lower layers and do not press in detail of the operation of lower layers [144,145]. This proposed architecture realizes some interfacing functions. First, it is a low-level hardware and software interface (sensor–microcontroller), secondly, it is a high-level controller area network (CAN) interface that has been developed for automotive applications to replace the complex cable in cars by a two-wire interface [144].

Some sensors with frequency output can be placed in a high impedance state when not required. This is useful for applications where input devices share a microcontroller. As a rule, outputs are microcontroller compatible and designed to drive a standard TTL or CMOS logic input over a short distance. If lines are greater than 30 cm, then it is recommended that a shielded cable is used between ...

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Publisher Resources

ISBN: 9780470846100Purchase book