Author Affiliations
Abstract
1 State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
2 School of Information & Communication Engineering, North University of China, Taiyuan 030051, China
3 School of Instrument & Electronics, North University of China, Taiyuan 030051, China
Sensors based on optical resonators often have their measurement range limited by their cavity linewidth, particularly in the measurement of time-varying signals. This paper introduces a method for optical frequency shift detection using multiple harmonics to expand the dynamic range of sensors based on optical resonators. The proposed method expands the measurement range of optical frequency shift beyond the cavity linewidth while maintaining measurement accuracy. The theoretical derivation of this method is carried out based on the equation of motion for an optical resonator and the recursive relationship of the Bessel function. Experimental results show that the dynamic range is expanded to 4 times greater than the conventional first harmonic method while still maintaining accuracy. Furthermore, we present an objective analysis of the correlation between the expansion factor of the method and the linewidth and free spectrum of the optical resonator.
optical resonator optical frequency shift multiple harmonics dynamic range expansion Chinese Optics Letters
2024, 22(4): 041201
实现双盖格-米勒(Geiger-Müller,GM)计数管量程扩展测量的关键是双GM计数管量程切换控制技术,该技术可使探测器自动选择合适量程的GM计数管进行测量。但是由于两种不同测量量程的GM计数管存在性能差异,传统的将测量量程分成两个区域的方法会导致双GM计数管在量程交叠区域内线性拟合度较低。为了提高双GM计数管在测量量程交叠区域内的线性度,提出了一种量程控制测量方法。该方法将测量范围划分为低量程、中量程以及高量程三个区间,并且还可在三个测量量程之间进行快速自动切换,其中在中量程测量中,分别将两个GM计数管获得的数据进行加权处理。采用241Am源和60Co源进行双GM计数管探测器电路测试,初步测试结果表明:设计的双GM计数管探测器可实现在三个测量量程区间内快速自动切换。同时,双GM计数管在剂量率交叠区域1 000~10 000 μGy·h-1中的线性拟合度得到改进,使得在251~25 130 μGy·h-1的测试范围内,双GM计数管的测量线性度提高至0.999 1,有效地提高了双GM计数管的整体测量线性度。
双GM计数管 量程切换 交叠区域 Dual Geiger Miller counter tubes Range switch Overlapping region
Author Affiliations
Abstract
1 Key Laboratory of EMW Information (MoE), Fudan University, Shanghai 200433, China
2 Department of Communication Science and Engineering, Shanghai ERC of LEO Satellite Communication and Applications, Shanghai CIC of LEO Satellite Communication Technology, Fudan University, Shanghai 200433, China
3 Department of Electronic Engineering, Jinan University, Guangzhou 510632, China
4 School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Increasing bandwidth requirements have posed significant challenges for traditional access networks. It is difficult for intensity modulation/direct detection to meet the power budget and flexibility requirements of the next-generation passive optical network (PON) at 100G and beyond considering the new requirements. This is driving researchers to develop novel optical access technologies. Low-cost, wide-coverage, and high-flexibility coherent PON is emerging as a strong contender in the competition. In this article, we will review technologies that reduce the complexity of coherent PON (CPON), enabling it to meet the commercial requirements. Also, advanced algorithms and architectures that can enhance system coverage and flexibility are also discussed.
access network coherent optics flexible data rate low complexity wide dynamic range Chinese Optics Letters
2024, 22(4): 040604
1 华中科技大学智能制造装备与技术全国重点实验室,湖北 武汉 430074
2 光谷实验室,湖北 武汉 430074
衍射场作为叠层衍射成像技术(ptychography)的重要约束,其信息的丰富度和准确性将直接影响重构质量。提出一种基于极大似然噪声估计的高动态范围(ML-HDR)叠层衍射成像方法,即在探测器线性响应假设下,构建复合高斯噪声模型,根据极大似然估计求解最优权重函数,由多张低动态范围衍射场合成高信噪比衍射场。对比了单次曝光、传统HDR和ML-HDR三种方法的重构质量。仿真和实验结果表明:相比单次曝光,ML-HDR能将动态范围拓宽8位,重构分辨率提升至2.83倍;相比传统HDR,ML-HDR能提高重构图像的均匀性和对比度,且无需额外标定硬件参数。
计算成像 叠层衍射成像术 高动态范围 相位恢复 极大似然估计 激光与光电子学进展
2024, 61(8): 0811011
红外与激光工程
2024, 53(2): 20230561
红外与激光工程
2024, 53(1): 20230372
1 安徽建筑大学 机械与电气工程学院,安徽 合肥 230601
2 工程机械智能制造安徽省教育厅重点实验室,安徽 合肥 230601
3 过程装备与控制工程四川省高校重点实验室,四川 自贡 643000
4 中国科学技术大学 精密机械与精密仪器系,安徽 合肥 230026
为解决结构光测量高动态范围表面物体时出现局部过度曝光或曝光不足的问题,提出一种改进的多曝光融合方法,利用自适应曝光代替手动曝光,并对图像融合过程进行优化。首先,将初始曝光时间下拍摄的图像利用直方图进行分析,将被测物体表面反射率不同的区域分为若干组,分别计算出每个组别的最佳曝光时间;在此基础上,拍摄不同组别对应最佳曝光时间下投射白光和条纹的图像,并去除图像中超过设定阈值的高灰度值区域,再将投射白光处理后的图像制作成掩模图,与相同曝光时间下投射条纹处理后的图像相乘,进而对多组相乘后的图像进行亮度压缩与融合;最后,通过CLAHE算法提高融合后所生成条纹图的对比度与清晰度,并对条纹解相后进行点云重建和尺寸测量。实验结果表明:文中方法中自适应曝光相较于手动曝光具有高效性和准确性,U型卡、连接块、圆盘三个高动态范围表面物体的点云重建率分别高达99.98%、99.74%、99.76%,测量出的标准块阶梯高度差绝对误差为0.062 mm,相对误差仅为0.69%,该方法有效解决了高动态范围表面物体测量时点云缺失的问题,提高了三维轮廓的测量精度。
高动态范围表面物体 自适应曝光时间 多曝光融合技术 三维轮廓检测 high dynamic range surface objects adaptive exposure time multi-exposure fusion technology 3D contour detection 红外与激光工程
2024, 53(1): 20230370