Simultaneous position prediction and intensity correction of quadrant detector-based detection system

Siyuan Wang; Zijian Yu; Lijing Li

doi:10.1117/12.3007682

24 November 2023 Simultaneous position prediction and intensity correction of quadrant detector-based detection system

Siyuan Wang, Zijian Yu, Lijing Li

Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 129352R (2023) https://doi.org/10.1117/12.3007682
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China

Abstract

A quadrant detector (QD) is a widely used position sensor. By employing ghost imaging, the detector's four-channel output can be multiplexed to simultaneously locate and image a target. However, flaws in the detection system distort the detected laser intensity, which will increase positioning errors and degrade the reconstructed image quality. In this study, based on the spot distribution and detector characteristics, a detection model was established and analyzed. A neural network-based fitting method is proposed to directly predict the spot location and correct the total light intensity with the detector output. The network is constructed and trained with simulated data. The prediction accuracy performance is verified by numerical simulations. This scheme has the potential to improve the localization accuracy and imaging quality of quadrant detector-based detection systems, such as radar and guidance applications.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Siyuan Wang, Zijian Yu, and Lijing Li "Simultaneous position prediction and intensity correction of quadrant detector-based detection system", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 129352R (24 November 2023); https://doi.org/10.1117/12.3007682

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