Photodiode Bridge-Based Differential Readout Circuit for High-Sensitivity Measurements of Energy Variations of Laser Pulses for Optoelectronic Sensing Systems

Marcellis, Andrea De; Palange, E.; Leone, Simona; Stanchieri, Guido Di Patrizio; Faccio, Marco

doi:10.1109/ngcas.2018.8572137

Cited by 2 publications

(1 citation statement)

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“…Usually, the dark current of photodetectors is at the nanoampere level and has a large range of variation. It is generally necessary to use high-gain preamplifier circuits and a range of automatic conversion circuits to achieve this [31][32][33]. For detector arrays, it is necessary to design corresponding scanning circuits to select pixels [34], similar to the imaging principle of charge-coupled device (CCD) cameras.…”

Section: Introductionmentioning

confidence: 99%

Research on Fast Detection Technology of Dark Currents in a Ge–Si Detector Array

Gao

Tao

et al. 2023

Applied Sciences

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A shortwave infrared Ge–Si photodetector will become the core device of the LiDAR optical receiver. In order to meet the urgent demand for photodetectors in the LiDAR field, we designed and produced a 32 × 32-pixel Ge–Si photodetector array, which was proposed and developed to meet the performance requirements of the detector array. A dark current detection system for fast scanning and detecting large-scale Ge–Si detector arrays was proposed and developed to achieve the rapid detection of dark current in each detector pixel, with a detection accuracy of less than 1 nA. The system validated the primary performance indicators of the detector array we designed, achieving rapid discrimination of the array performance and rapid localization of damaged pixels. The scanning test results showed that the average dark current of the designed detector array chip was on the nanoampere level, and the proportion of bad points was less than 1%. The consistency of the array chip was high, which meets the requirements of light detection at the receiving end of LiDAR. This work laid the foundation for our subsequent development of a LiDAR prototype system.

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Section: Introductionmentioning

confidence: 99%