Title

Modeling Of An Impact Transducer For In Situ Adaptive Disdrometer Calibration

Keywords

Adaptive signal processing; Disdrometer calibration; Rainfall measurement; Tipping bucket

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 realtime system. Linear transducer models allow an implementation suitable in a real-time signal processing system. ©2010 IEEE.

Publication Date

6-28-2010

Publication Title

Final Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ISCCSP.2010.5463471

Socpus ID

77953816101 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77953816101

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