Abstract. We modeled a pyroelectric sensor by a current source connected in parallel with output impedance. The dynamic behavior of the sensor is described using a transfer function designed using the MATLAB Simulink environment. The transfer function parameters are optimized using the optimization algorithm Particle Swarm Optimization PSO implemented in the MATLAB environment. This optimization is performed from a comparison with the measured signal. The transfer function thus determined is used to determine the dynamic properties of a pyroelectric sensor. To justify the validity of the proposed approach, we used pyroelectric sensor based on PVDF.
This paper presents the results of a stability study of a photodiode realized in the Laboratoire de Métrologie des Rayonnements (LMR-INSAT, Tunisia). The study was performed during six years and concerned with the photodiode optical and electrical characteristics. This study involves in one side, the reflectivity stability for different wavelengths and in the other side, the stability of the series and shunt resistances. The experimental results confirm the stability of the photodiode spectral response since the reflection coefficient maximum uncertainty is equal to 0.0055 with an experimental uncertainty of about 0.0016 (at 1 level) for the mean value of the reflectivity over the study duration. Moreover, the shunt and series resistances are equal to 5.14 kΩ and 7.61 Ω respectively with an uncertainty value of 0.01 kΩ and 0.04 Ω respectively (at 1 level). This photodiode does not display any ageing aspect. Consequently, the PSiZ photodiode can be used as a Transfer Standard for radiometric measurement in the visible spectral range.
Abstract. This paper presents an implementation of a data acquisition system for analog-to-digital converters (ADCs) using "Laboratory Virtual Instrument Engineering Workbench (LabVIEW)" as software for data analysis. The designed and implemented platform allows interaction with the device under test through means of data acquisition and instrument controls. Developing custom tests in LabVIEW can result in reduced test time, which in turn will help reduce costs in testing. This system was developed for evaluation purposes of ADC's static and dynamic parameters (gain error, offset error, DNL, INL, SNR, SINAD, IMD, etc.) using single and multifrequency signals. The virtual control and analysis instrument was created in "LabVIEW" environment to control test signals generation and data acquisition. The testing performance of the platform is demonstrated using the classical ADC circuit "ADC0804". A comparison with experimental results obtained by CANTEST platform from Bordeaux University (France) is also presented to highlight our platform.
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