光学学报, 2020, 40 (23): 2325001, 网络出版: 2020-11-24  

基于分布式反馈激光器的高速运动方向选择和识别 下载: 1051次

High-Speed Motion Direction Selection and Recognition Based on Distributed Feedback Laser
作者单位
上海交通大学智能微波光波融合创新中心(iMLic)区域光纤通信网与新型光通信系统国家重点实验室, 上海 200240
摘要
类脑光子信息处理技术受高速低功耗的大脑信息处理原理的启发,与传统光子信息处理技术相比,可大幅提升处理的速率和能效,且在感知和识别等方面具有重要的应用价值。提出了一种基于分布式反馈(DFB)激光器的类脑光子信息处理方案,可对高速运动方向进行选择和识别。分析了电流偏置参数对DFB激光器光脉冲响应宽度的影响,验证了所采用的DFB激光器光脉冲宽度与高速运动方向识别之间的依存关系,并架构了基于DFB激光器的高速运动方向选择模块。对该模块进行实验测试,在正确识别前提下,分析了链路权值参数和电流偏置组合对模块适用速度范围的影响,结果表明,在马赫量级速度范围内,该模块对一维方向实现了有效识别。
Abstract
The neuromorphic photonic information processing technology is inspired by the high-speed and low power-consumption information processing mechanism in brain. Compared with the traditional photonic information processing technologies, it not only promotes greatly the processing speed and energy efficiency, but also possesses important applications in detection and perception. This paper proposes a neuromorphic photonic information processing scheme based on the distributed feedback(DFB) laser, which is used for high-speed motion direction selection and recognition. The influence of bias current on the DFB laser pulse response duration is analyzed. The dependence of high-speed motion direction recognition on the DFB laser pulse duration is confirmed and the module for high-speed motion direction selection based on DFB laser is constructed. The experimental test of this module is conducted. On the premise of correct recognition, the effects of link weighting parameters and current bias on the applicable speed range are analyzed. The results show that the proposed module can realize the effective recognition in one-dimensional direction within the Mach-level speed range.

虞韫之, 马伯文, 邹卫文. 基于分布式反馈激光器的高速运动方向选择和识别[J]. 光学学报, 2020, 40(23): 2325001. Yunzhi Yu, Bowen Ma, Weiwen Zou. High-Speed Motion Direction Selection and Recognition Based on Distributed Feedback Laser[J]. Acta Optica Sinica, 2020, 40(23): 2325001.

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