Abstract
A resistance deviation-to-time interval converter using second generation current conveyors is designed for connecting resistive bridge sensors with a digital system based on dual-slope integration. Simulation results exhibit that a conversion sensitivity amounts to 15.56 μs/Ω over the resistance deviation range of 0-200 Ω and its linearity error is less than ±0.02%. Its temperature stability is less than 220 ppm/℃ in the temperature range of −25-85℃.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Weiss, H.J.: Measuring resistance deviations quickly and more accurately. Elec. Eng. (8), 41–43 (1972)
Chung, W.-S., Watanabe, K.: A temperature difference-to-frequency converter using resistance temperature detectors. IEEE Trans. Instrum. Meas. 39(4), 676–677 (1990)
Mochizuki, K., Watanabe, K.: A high-resolution, linear resistance-to-frequency converter. IEEE Trans. Instrum. Meas. 45(3), 761–764 (1996)
Kaliyugavaradan, S.: A linear resistance-to-time converter with high resolution. IEEE Trans. Instrum. Meas. 49(1), 151–153 (2000)
Liu, H.Q., Teo, T.H., Zhang, Y.P.: A low-power wide-range interface circuit for nanowire sensor array based on resistance-to-frequency conversion technique. In: ISIC 2009, vol. 2, pp. 13–16 (December 2009)
Toumazou, C., Lidgey, F.J., Haigh, D.G.: Anaolog IC design: The current-mode approach, ch. 15. Peter Peregrinus Ltd., London (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, HS., Shin, JG., Chung, WS., Son, SH. (2012). A Resistance Deviation-To-Time Interval Converter Using Second Generation Current Conveyors. In: Kim, Th., Ko, Ds., Vasilakos, T., Stoica, A., Abawajy, J. (eds) Computer Applications for Communication, Networking, and Digital Contents. FGCN 2012. Communications in Computer and Information Science, vol 350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35594-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-35594-3_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35593-6
Online ISBN: 978-3-642-35594-3
eBook Packages: Computer ScienceComputer Science (R0)