Simulation model to enhance Bragg reflector assisted GeSn SACM-SPAD performance for 1550 nm LIDAR applications in autonomous vehicles

IF 3.1 3区 物理与天体物理 Q2 Engineering Optik Pub Date : 2024-10-19 DOI:10.1016/j.ijleo.2024.172074
Islam Arafa, Hassan Mostafa, Yasmine Elogail
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Abstract

A safe 3-D lidar sensor for autonomous vehicle creates a high demand on 1550 nm SPADs detectors. Due to the limitation of the energy band gab and absorption coefficient of Si and Ge, their photodetectors have low efficiency at the 1550 nm wavelength. Doping Ge with Sn reduces its bandgap and enables higher efficiency in this range while adding Bragg reflector represents a smart way to increase absorption area effective thickness. Here a simulation model for Ge(1-x)Snx SACM SPAD is proposed to work as a 1550 nm laser detector. Two Bragg reflectors are built using Si\SiGe and Si\SiGeSn layers. Results show a significant enhancement on detector optical properties. PDP reaches 38 % at room temperature and the increase in Pdp due to Bragg reflector reaches 66 %. Although DCR also increases, it can be handled with proper dead time configuration.
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增强布拉格反射器辅助 GeSn SACM-SPAD 性能的仿真模型,用于自动驾驶汽车中的 1550 nm 激光雷达应用
用于自动驾驶汽车的安全三维激光雷达传感器对 1550 nm SPADs 探测器提出了很高的要求。由于硅和锗的能带隙和吸收系数的限制,它们的光电探测器在 1550 纳米波长的效率很低。在 Ge 中掺入锡可以降低其带隙,从而提高在此波长范围内的效率,而添加布拉格反射器则是增加吸收区域有效厚度的明智之举。这里提出了一个 Ge(1-x)Snx SACM SPAD 仿真模型,以用作 1550 nm 激光探测器。使用硅-硅-锗和硅-硅-锗-锡层构建了两个布拉格反射器。结果表明,探测器的光学性能有了明显的提高。室温下的 PDP 达到了 38%,而布拉格反射器带来的 Pdp 增加达到了 66%。虽然 DCR 也会增加,但可以通过适当的死区时间配置来解决。
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来源期刊
Optik
Optik 物理-光学
CiteScore
6.90
自引率
12.90%
发文量
1471
审稿时长
46 days
期刊介绍: Optik publishes articles on all subjects related to light and electron optics and offers a survey on the state of research and technical development within the following fields: Optics: -Optics design, geometrical and beam optics, wave optics- Optical and micro-optical components, diffractive optics, devices and systems- Photoelectric and optoelectronic devices- Optical properties of materials, nonlinear optics, wave propagation and transmission in homogeneous and inhomogeneous materials- Information optics, image formation and processing, holographic techniques, microscopes and spectrometer techniques, and image analysis- Optical testing and measuring techniques- Optical communication and computing- Physiological optics- As well as other related topics.
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