
Author Affiliations
Abstract
1 Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
2 Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Non-line-of-sight (NLOS) imaging is an emerging technique for detecting objects behind obstacles or around corners. Recent studies on passive NLOS mainly focus on steady-state measurement and reconstruction methods, which show limitations in recognition of moving targets. To the best of our knowledge, we propose a novel event-based passive NLOS imaging method. We acquire asynchronous event-based data of the diffusion spot on the relay surface, which contains detailed dynamic information of the NLOS target, and efficiently ease the degradation caused by target movement. In addition, we demonstrate the event-based cues based on the derivation of an event-NLOS forward model. Furthermore, we propose the first event-based NLOS imaging data set, EM-NLOS, and the movement feature is extracted by time-surface representation. We compare the reconstructions through event-based data with frame-based data. The event-based method performs well on peak signal-to-noise ratio and learned perceptual image patch similarity, which is 20% and 10% better than the frame-based method.
non-line-of-sight imaging event camera event-based representation Chinese Optics Letters
2023, 21(6): 061103
Advanced Research Center for Microwave Photonics (ARC-MWP), State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Electrooptical modulation fiber optics systems half-wave voltage inter-modulation Photonic Sensors
2023, 13(2): 230203
红外与激光工程
2022, 51(11): 20220111
红外与激光工程
2022, 51(5): 20211125
1 电子科技大学中山学院电子信息学院, 广东 中山 528402
2 吉林大学仪器科学与电气工程学院, 吉林 长春 130012
3 珠海任驰光电科技有限公司, 广东 珠海 519000
提出一种变分模态分解-排列熵的去噪方法,分析并设定排列熵中关键参数和阈值,进而通过排列熵来确定变分模态分解的分解层数值,将分解的各模态进行重构以实现对振动信号的去噪。通过仿真测试来验证该方法在正交性、完备性、信噪比和效率方面的优越性,最后对系统采集的实际振动信号进行去噪处理。实验结果表明,与现有的经验模态分解-相关系数和完全经验模态分解-相关系数方法相比,所提方法对触网、车轮碾压和雨淋三种振动信号具有最优的去噪信噪比(含噪信号与降噪值之比),分别为32.5358 dB、30.5546 dB和29.3435 dB,耗时也较少,分别为1.4432,1.6320,1.2349 s,信号模式识别准确率最高,均在99%以上。
光纤光学 分布式光纤振动传感 变分模态分解 排列熵 信号去噪 fiber optics distributed fiber vibration sensing variational mode decomposition permutation entropy signal denoising
1 电子科技大学中山学院电子信息学院,广东 中山 528402
2 中国人民解放军31131部队,江苏 南京 211112
3 吉林大学仪器科学与电气工程学院,吉林 长春 130012
随着我国高速、大容量、宽带网络的快速发展以及军用短距离战术通信系统的广泛应用,对于通信网络中光纤及无源器件故障的精准定位与实时在线监测日趋重要。本文基于非相干光频域反射(IOFDR)技术机理,以光纤中后向瑞利散射光作为信号光,并结合光波传导方程,提出了一种低成本、高精度、分布式光纤质量检测方法,并对其数值模型进行了详细推导,设计系统结构,研制系统样机。通过实验验证,采用非相干连续光源,可以以较低的光功率(<10 mW)初步实现10 km光纤的分布式检测,并可保证光纤沿线无差异的空间分辨率0.1 m,动态范围优于34.5 dB,事件盲区极小,可有效解决传统光时域反射技术(OTDR)的注入功率大、空间分辨率低、事件盲区大以及相干光频域反射技术(COFDR)成本高、体积大、测量距离有限等问题,是一种极具发展潜力和推广价值的高精度光纤网络在线健康监测技术。
光纤光学 非相干光频域反射技术 光纤故障 高精度定位 在线监测 fibre optics incoherent optical frequency domain reflection technology fibre optic fault high positioning accuracy on-line monitoring
1 电子科技大学中山学院 电子信息学院,广东 中山 528402
2 吉林大学 仪器科学与电气工程学院,吉林 长春 130012
3 福州大学 物理与信息工程学院,福建 福州 350108
实际应用中,分布式光纤振动传感系统所测信号多为非平稳随机信号,对其进行模式识别的关键是准确获取信号的幅值-时间-频率瞬时特征。现有的相关研究表明,经验模态分解EMD方法结合希尔伯特变换可获得所测信号中固有模态分量的瞬时能量和瞬时频率,但存在模态混叠问题,后续改进的总体经验模态分解EEMD方法存在伪分量,重构误差大,互补经验模态分解CEEMD方法减小了重构误差的同时增加了运算量,无法保证特征提取与分类的效率与准确性。文中基于改进型经验模态分解方法结合希尔伯特变换MEEMD-HHT方法实现分布式光纤振动传感系统的特征提取,引入的排列熵的评价机制优化了分解过程中随机噪声迭代次数,通过仿真分析与实验对比,验证了该方法可有效解决上述方法中存在的问题,使系统在处理时间、特征准确度等性能皆有提高。实验结果表明,所提出的方法对于单频振动信号平均特征提取准确率达99.2%;对于混频振动信号平均特征提取准确率达98.1%,相对于EMD和CEEMD分别提高15.6%和7%,算法平均耗时最短,为3.8259 s,为分布式光纤振动传感系统的信号特征提取提供了一种可靠、高效的方法。
分布式光纤振动传感 MEEMD Hilbert变换 振动信号特征提取 distributed fiber vibration sensing MEEMD Hilbert transform feature extraction of vibration signal 红外与激光工程
2021, 50(7): 20210223
红外与激光工程
2021, 50(5): 20200437

Author Affiliations
Abstract
We propose a low-speed photonic sampling for independent high-frequency characterization of a Mach–Zehnder modulator (MZM) and a photodetector (PD) in an optical link. A low-speed mode-locked laser diode (MLLD) provides an ultra-wideband optical stimulus with scalable frequency range, working as the photonic sampling source of the link. The uneven spectrum lines of the MLLD are firstly characterized with symmetric modulation within the interesting frequency range. Then, the electro-optic modulated signals are down-converted to the first Nyquist frequency range, yielding the self-referenced extraction of modulation depth and half-wave voltage of the MZM without correcting the responsivity fluctuation of the PD in the link. Finally, the frequency responsivity of the PD is self-referenced measured under null modulation of the MZM. As frequency responses of the MZM and the PD can be independently obtained, our method allows self-referenced high-frequency measurement for a high-speed optical link. In the proof-of-concept experiment, a 96.9 MS/s MLLD is used for measuring a MZM and a PD within the frequency range up to 50 GHz. The consistency between our method and the conventional method verifies that the ultra-wideband and self-referenced high-frequency characterization of high-speed MZMs and PDs.
Journal of Semiconductors
2021, 42(4): 042303