ArticleSensors (Basel, Switzerland)2021
Modeling, Simulation Methods and Characterization of Photon Detection Probability in CMOS-SPAD.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A Simulation Method for Underwater SPAD Depth Imaging Datasets.Sensors (Basel, Switzerland) · 2024Article
- Characterization of the iPhone LiDAR-Based Sensing System for Vibration Measurement and Modal Analysis.Sensors (Basel, Switzerland) · 2023Article
- Modeling for Single-Photon Avalanche Diodes: State-of-the-Art and Research Challenges.Sensors (Basel, Switzerland) · 2023Review
- Fundamental limits to depth imaging with single-photon detector array sensors.Scientific reports · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
Single-Photon Avalanche Diodes (SPAD) in Complementary Metal-Oxide Semiconductor (CMOS) technology are potential candidates for future "Light Detection and Ranging" (Lidar) space systems. Among the SPAD performance parameters, the Photon Detection Probability (PDP) is one of the principal parameters. Indeed, this parameter is used to evaluate the SPAD sensitivity, which directly affects the laser power or the telescope diameter of space-borne Lidars. In this work, we developed a model and a simulation method to predict accurately the PDP of CMOS SPAD, based on a combination of measurements to acquire the CMOS process doping profile, Technology Computer-Aided Design (TCAD) simulations, and a Matlab routine. We compare our simulation results with a SPAD designed and processed in CMOS 180 nm technology. Our results show good agreement between PDP predictions and measurements, with a mean error around 18.5%, for wavelength between 450 and 950 nm and for a typical range of excess voltages between 15 and 30% of the breakdown voltage. Due to our SPAD architecture, the high field region is not entirely insulated from the substrate, a comparison between simulations performed with and without the substrate contribution indicates that PDP can be simulated without this latter with a moderate loss of precision, around 4.5 percentage points.
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