【Device Papers】First Tolerance Boundaries Analysis of Defective Ga₂O₃ Photodetector Arrays for Robust Compressed Sensing Imaging

      Researchers from the  Nanjing University of Posts and Telecommunications have published a dissertation titled "First Tolerance Boundaries Analysis of Defective Ga₂O₃ Photodetector Arrays for Robust Compressed Sensing Imaging" in IEEE Transactions on Electron Devices.

Abstract

      This work presents the first systematic quantification of nonuniformity and nonlinearity effects in gallium oxide (Ga₂O₃) photodetector arrays and their specific impact on compressed sensing imaging performance. We fabricated an 8×8 Ga₂O₃ photodetector array and characterized its photoresponse, revealing a Gaussian distribution with a standard deviation of 0.146. Through the statistical modeling and computational analysis, we established quantitative relationships between device parameters and image reconstruction quality. Our findings indicate that achieving optimal imaging performance necessitates photodetector arrays with superior uniformity (σ<0.05) and linearity (α>0.85). We further classified the imaging quality into distinct performance regions based on multiple metrics [peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and root-mean-square error (RMSE)], providing a comprehensive framework for quality assessment for Ga₂O₃-based compressed sensing applications. Monte Carlo simulations confirm reconstructed image parameters exceeding 30-dB PSNR, 0.95 SSIM, and sub-10 RMSE when meeting the prescribed uniformity and linearity thresholds. This work offers the first quantitative fabrication tolerance guidelines for Ga₂O₃ photodetector array cameras in compressed sensing imaging, offering essential References for ensuring imaging quality, with significant implications for solar-blind ultraviolet detection, environmental monitoring, and deep-space communications.

DOI：

https://doi.org/10.1109/TED.2025.3614576