Presentation + Paper
4 March 2022 Wide-angle emission grating using a supervised genetic optimization for LIDAR integration
Desire Muhire, Laurent Frey, Anis Daami
Author Affiliations +
Abstract
Diffraction gratings are among the essential devices for spreading and shaping beams in a wide range of optoelectronic and photonic sensors and fiber optic communications. This has triggered an interest towards inverse design and optimization of the parameters using gradient-based optimization, heuristic algorithms, and machine learning models. Approaches based on complex models (such as deep neural networks) provide enhanced robustness and rely on a huge amount of data to achieve accuracy. However, the generation of these data and multi-parameter optimization can be laborious and time-consuming with the Finite Difference Time Domain (FDTD) simulation. We present an optimization approach to obtain a single grating antenna with wide-angle emission for a photonic integrated flash Light Detection And Ranging (LIDAR) system. The device is simulated using a silicon nitride material operating at a wavelength of 905 nm. Our method relies on a supervised, data-centric approach in combination with a genetic algorithm optimization. Given an optimization and several parameters, we evaluate the variables based on their correlation with the merit function and reduce the search region consequently. This approach allows faster convergence and provides a flat field of view of (56.95°, 92.82°) at Full Width Half Maximum (FWHM) in one dimension simulation.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Desire Muhire, Laurent Frey, and Anis Daami "Wide-angle emission grating using a supervised genetic optimization for LIDAR integration", Proc. SPIE 11995, Physics and Simulation of Optoelectronic Devices XXX, 119950F (4 March 2022); https://doi.org/10.1117/12.2607457
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KEYWORDS
Etching

Optimization (mathematics)

LIDAR

Principal component analysis

Finite-difference time-domain method

Statistical analysis

Apodization

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