NDLI: Modeling of an impact transducer for in situ adaptive disdrometer calibration

Content Provider	IEEE Xplore Digital Library
Author	Kasparis, T. Lane, J. Jones, L.
Copyright Year	2010
Description	Author affiliation: University of Central Florida, Orlando 32816, USA (Lane, J.; Jones, L.) \|\| University of Central Florida, USA (Kasparis, T.)
Abstract	In situ calibration of a rainfall impact disdrometer using a collocated tipping bucket rain gauge has been previously reported. Several factors affect the accuracy of this technique. These include the specific mathematical model of the transducer, tipping bucket errors, clock/time accuracy, switch delay time and calibration reference window used to update the transducer model coefficients. In this work, two general forms of an empirical transducer model have been investigated: a simple two-coefficient power-law and an Nth order polynomial, where the input is a specific measure of the electrical signal from the transducer and the output is the hydrometeor diameter. Even though previous work allowed for a more general non-linear transducer model description, the subsequent implementation of an adaptive calibration algorithm required use of a steepest descent recursive gradient search algorithm, which can be difficult to implement in a real-time system. Linear transducer models allow an implementation suitable in a real-time signal processing system.
Starting Page	1
Ending Page	4
File Size	5523864
Page Count	4
File Format	PDF
ISBN	9781424462858
e-ISBN	9781424462872
DOI	10.1109/ISCCSP.2010.5463471
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-03
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Transducers Delay effects Disdrometer calibration Switches Adaptive signal processing Calibration Tipping Bucket Rain Rainfall measurement Signal processing algorithms Error correction Mathematical model Clocks
Content Type	Text
Resource Type	Article

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