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Optical Phased Array With Dual-Layer Electro-Optic Polymer and Silicon Nitride Waveguides 具有双层电光聚合物和氮化硅波导的光学相控阵
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-01 DOI: 10.1109/JPHOT.2025.3639001
Yuji Miyamoto;Masato Miura;Junichi Shibasaki;Masakazu Nanba;Kenji Machida;Rieko Ueda;Takahiro Kaji;Toshiki Yamada;Akira Otomo;Yoshikuni Hirano
An optical phased array (OPA) is a device capable of forming and scanning arbitrary optical beams without any mechanical moving parts. We are developing an OPA using organic electro-optic (EO) polymers that exhibit ultrahigh speed and low power consumption. The deflection angle of an OPA depends on the pitch of the waveguide’s output section; thus, a narrower pitch is required to increase the deflection angle. Here, we propose an organic–inorganic dual-layer OPA that uses EO polymer waveguides as phase shifters and silicon nitride (SiN) waveguides as the output section. Because SiN has a higher refractive index than the EO polymer, it provides strong optical confinement, enabling a narrower waveguide pitch. This study describes a transition section designed to transfer light between the EO polymer waveguide and SiN waveguides. Numerical calculations show that a transition section with tapered SiN waveguides achieves a coupling loss of 0.76 dB, while experimental measurements indicate a coupling loss of 1.67 dB. Optical experiments on devices fabricated via a layering process demonstrated a beam divergence angle of 1.917$^{circ}$ and a maximum deflection angle of 36.64$^{circ}$ from optical beams emitted by a SiN grating array with a 2.5 $mu$m pitch at the emission section.
光学相控阵(OPA)是一种无需任何机械运动部件即可形成和扫描任意光束的装置。我们正在使用具有超高速和低功耗的有机电光(EO)聚合物开发OPA。OPA的偏转角度取决于波导输出部分的节距;因此,需要更窄的节距来增加偏转角度。在这里,我们提出了一种有机-无机双层OPA,它使用EO聚合物波导作为移相器,氮化硅(SiN)波导作为输出部分。由于SiN具有比EO聚合物更高的折射率,因此它提供了强大的光约束,从而实现更窄的波导间距。本研究描述了一个设计用于在EO聚合物波导和SiN波导之间传递光的过渡部分。数值计算结果表明,锥形SiN波导过渡段的耦合损耗为0.76 dB,而实验测量结果表明耦合损耗为1.67 dB。在分层法制成的器件上进行的光学实验表明,在发射截面上,由间距为2.5 $mu$m的SiN光栅阵列发射的光束发散角为1.917$^{circ}$,最大偏转角为36.64$^{circ}$。
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引用次数: 0
Multidimensional Constellation Design Based on Geometric Shaping for MISO VLC With Per-LED Optical Power Constraints 基于几何整形的单led光功率约束MISO VLC多维星座设计
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-25 DOI: 10.1109/JPHOT.2025.3636909
Bo Gao;Jia-Ning Guo;Jian Zhang;Yan-Yu Zhang;Dun Li
Visible light communication (VLC) integrates illumination and communication, offering significant potential for 6G mobile communications. In 6G communications, reliability and low latency are critical. To meet these demands, finite blocklength codewords are employed for data transmission. For indoor VLC scenarios, multiple light-emitting diodes (LEDs) serve as transmitters, with each transmitter operating under distinct optical power constraints tailored to user requirements. In this paper, a multidimensional constellation design based on geometric shaping is proposed for multi-input single-output (MISO) VLC with per-LED optical power constraints. This design employs truncated cubic shaping to design the equivalent transmitted signal and decomposes it into transmitted signals using a partition-based greedy decomposition. The proposed scheme designs signals in the finite blocklength regime while adhering to per-LED optical power constraints. Simulation results for indoor MISO VLC systems demonstrate the advantages of the proposed scheme over benchmark schemes and quantify the performance gains as well as the gap to the Shannon limit.
可见光通信(VLC)集成了照明和通信,为6G移动通信提供了巨大的潜力。在6G通信中,可靠性和低延迟至关重要。为了满足这些需求,使用有限块长码字进行数据传输。对于室内VLC场景,多个发光二极管(led)作为发射器,每个发射器在根据用户需求量身定制的不同光功率限制下工作。针对每个led光功率受限的多输入单输出VLC,提出了一种基于几何整形的多维星座设计方法。本设计采用截断三次整形设计等效传输信号,并采用基于分区的贪婪分解将其分解为传输信号。所提出的方案在有限块长度范围内设计信号,同时遵守每个led光功率的限制。室内MISO VLC系统的仿真结果表明了该方案相对于基准方案的优势,并量化了性能增益以及与香农极限的差距。
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引用次数: 0
An Isolation Apparatus for CO2 Nanosecond Laser Systems 一种用于CO2纳秒激光系统的隔离装置
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-24 DOI: 10.1109/JPHOT.2025.3636570
Zhaowang Ma;Yiming Cai;Yicheng Zhou;Zejun Li;Junping Guo;Lingyu Liu;Xudong Jin;Yang Bu;Xing Ding;Qing Ye;Peng Zhang;Haiwen Cai
An isolation apparatus for far-infrared wavelengths was developed and integrated into a CO2 nanosecond laser system for performance evaluation. The apparatus uses a dual acousto-optic modulator (AOM) configuration combined with an image-relaying delay line to achieve high isolation of back-reflected light. This design is based on the Bragg diffraction mechanism of the AOMs to achieve a high isolation for back-reflected radiation along the primary optical path. The delay line’s extended propagation distance and image-relaying properties effectively compensate for the slow switching speeds of the AOMs. Experimental investigation within the CO2 nanosecond laser system demonstrates an isolation of 31.82 dB for back-reflected light, with output beam quality factors of MX2 = 1.070 and MY2 = 1.017, an overall transmittance of 35.73%, and a power-handling capability exceeding 130.60 W.
研制了一种远红外波长隔离装置,并将其集成到CO2纳秒激光系统中进行性能评估。该装置采用双声光调制器(AOM)结构与图像中继延迟线相结合,实现了对背反射光的高度隔离。该设计基于AOMs的布拉格衍射机制,实现了对主光路背反射辐射的高度隔离。延迟线的扩展传播距离和图像中继特性有效地弥补了AOMs缓慢的切换速度。实验研究表明,CO2纳秒激光系统对背反射光的隔离度为31.82 dB,输出光束质量因子MX2 = 1.070, MY2 = 1.017,总透射率为35.73%,功率处理能力超过130.60 W。
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引用次数: 0
Single Pixel Imaging Based on Enhanced Dual Generative Networks 基于增强双生成网络的单像素成像
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-24 DOI: 10.1109/JPHOT.2025.3636561
Jia Feng;Yang Liu;Cheng Li;Kui Shi;Zhujie Liang;Hao Wang
Reconstructing high-quality image at low measurement rates remains a primary objective for single-pixel imaging (SPI). Deep learning-based compression reconstruction algorithm can improve the quality and reconstruction speed of the reconstructed image. Generative adversarial network (GAN) and diffusion model (DM), which have excellent performance in the field of image generation have achieved excellent research results in the field of single-pixel imaging reconstruction. GAN-based models often suffer from the mode collapse problem, and the diffusion model relies on multi-step iteration to obtain a fine and smooth forward diffusion process, but its lengthy sampling process limits the reconstruction efficiency. Therefore, we propose a single-pixel imaging reconstruction algorithm EDGN that combines the advantages of the two generation models. The generative adversarial network uses the measurement and noise to generate the initial image, the denoising diffusion probability model is used to optimize the image refinement, and the high-quality reconstructed image is obtained by joint training. Besides, an adaptive regularization coefficient limited range adjustment method (ARCLA) is designed to achieve fast convergence of coefficients. Simulations and experiments confirm that our proposed enhanced dual generative network method can significantly improve the quality of image reconstruction at low measurement rates.
在低测量速率下重建高质量图像仍然是单像素成像(SPI)的主要目标。基于深度学习的压缩重建算法可以提高重建图像的质量和重建速度。生成式对抗网络(GAN)和扩散模型(DM)在图像生成领域表现优异,在单像素成像重建领域取得了优异的研究成果。基于gan的模型经常存在模态崩溃问题,扩散模型依赖于多步迭代来获得精细平滑的正向扩散过程,但其冗长的采样过程限制了重构效率。因此,我们提出了一种结合两代模型优点的单像素成像重建算法EDGN。生成式对抗网络利用测量和噪声生成初始图像,利用去噪扩散概率模型对图像进行优化细化,通过联合训练获得高质量的重构图像。此外,设计了一种自适应正则化系数限距调整方法(ARCLA),实现了系数的快速收敛。仿真和实验验证了我们提出的增强双生成网络方法在低测量率下可以显著提高图像重建的质量。
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引用次数: 0
Sensing Accuracy Enhancement of Phase-Sensitive Optical Frequency Domain Reflectometry Using Hybrid Hampel-Median Filter 混合汉普尔-中值滤波增强相敏光频域反射仪传感精度
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-21 DOI: 10.1109/JPHOT.2025.3635712
Yiheng Cheng;Qinlin Zeng;Fei Liu;Fei Cui;Zhi Wang;Dan Li;Benzhang Wang;Xian Zhou
We propose a novel filter scheme to enhance the sensing accuracy of phase-sensitive optical frequency domain reflectometer (Φ-OFDR) while maintaining high spatial resolution via cascading Hampel filter and median filter. The working principle is theoretically analyzed and optimal filtering parameters are analyzed with the practical experimental configuration. Experimental results demonstrate that the proposed method achieves a temperature accuracy of 0.49 °C, indicating a 28 dB enhancement compared with the raw data while maintaining 4.6 mm spatial resolution. Compared to other conventional filtering methods applied in Φ-OFDR, the proposed hybrid Hampel-Median filter yields about 2∼4 times improvement in sensing accuracy and increases SNR by more than 5 dB with consistent spatial resolution condition. On the other hand, the proposed filtering method enhances the spatial resolution about 2∼6 times with the same sensing accuracy. The experimental results reveal that the novel filtering approach enables high sensing accuracy and spatial resolution for the distributed temperature or strain sensing scenarios of Φ-OFDR, without any hardware modifications.
为了提高相敏光频域反射计(Φ-OFDR)的传感精度,同时保持高空间分辨率,我们提出了一种新的滤波方案,通过级联Hampel滤波器和中值滤波器。对其工作原理进行了理论分析,并结合实际实验配置分析了最优滤波参数。实验结果表明,该方法的温度精度为0.49°C,在保持4.6 mm空间分辨率的情况下,与原始数据相比提高了28 dB。与Φ-OFDR中应用的其他传统滤波方法相比,所提出的混合Hampel-Median滤波器的传感精度提高了约2 ~ 4倍,在一致的空间分辨率条件下,信噪比提高了5 dB以上。另一方面,在相同的传感精度下,该滤波方法将空间分辨率提高了2 ~ 6倍。实验结果表明,该滤波方法在不进行硬件修改的情况下,对Φ-OFDR的分布式温度或应变传感场景具有较高的传感精度和空间分辨率。
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引用次数: 0
Photoacoustic Spectroscopy-Based Multi-Component Gas Detection Empowered by Machine Learning 基于机器学习的光声光谱多组分气体检测
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-12 DOI: 10.1109/JPHOT.2025.3631821
Jianjun Ding;Chao Zhang;Niansong Liu;Zhongxu Wu;Chao Sun
To address the low sensitivity, poor selectivity and insufficient real-time response of conventional gas-detection techniques when analyzing complex gas mixtures, this study proposed a precise qualitative–quantitative system for multi-component trace gases that integrates photoacoustic spectroscopy (PAS) with advanced machine-learning algorithms. The setup employs a high-power infrared laser and a high-sensitivity cantilever-type photoacoustic cell. An Adaboost-enhanced improving support vector machine (Adaboost-ISVM) classifier was developed, achieving a classification accuracy of 99.17% for multi-component gases, with a Kappa coefficient of 99% and an AUC value of 99.375% for C2H2, NO2 and SF6 mixtures, significantly outperforming traditional SVM model. Additionally, to address the impact of temperature on detection results, this study introduced the Dung Beetle Optimizer (DBO) to optimize the Back Propagation (BP) neural network, it reduced the mean NO2 concentration prediction error to 0.29 ppm over 25–60 °C, superior to traditional BP, GA-BP and SSA-BP. The integrated system offers a robust solution for real-time, reliable trace-gas monitoring in complex industrial environments.
为了解决传统气体检测技术在分析复杂气体混合物时灵敏度低、选择性差和实时响应不足的问题,本研究提出了一种将光声光谱(PAS)与先进的机器学习算法相结合的多组分微量气体精确定性定量系统。该装置采用高功率红外激光器和高灵敏度悬臂式光声电池。开发了adaboost增强的改进支持向量机(Adaboost-ISVM)分类器,对多组分气体的分类准确率为99.17%,对C2H2、NO2和SF6混合物的Kappa系数为99%,AUC值为99.375%,显著优于传统的SVM模型。此外,为了解决温度对检测结果的影响,本研究引入蜣螂优化器(DBO)对BP神经网络进行优化,在25-60℃范围内将NO2浓度的平均预测误差降低至0.29 ppm,优于传统的BP、GA-BP和SSA-BP。该集成系统为复杂工业环境中实时、可靠的痕量气体监测提供了强大的解决方案。
{"title":"Photoacoustic Spectroscopy-Based Multi-Component Gas Detection Empowered by Machine Learning","authors":"Jianjun Ding;Chao Zhang;Niansong Liu;Zhongxu Wu;Chao Sun","doi":"10.1109/JPHOT.2025.3631821","DOIUrl":"https://doi.org/10.1109/JPHOT.2025.3631821","url":null,"abstract":"To address the low sensitivity, poor selectivity and insufficient real-time response of conventional gas-detection techniques when analyzing complex gas mixtures, this study proposed a precise qualitative–quantitative system for multi-component trace gases that integrates photoacoustic spectroscopy (PAS) with advanced machine-learning algorithms. The setup employs a high-power infrared laser and a high-sensitivity cantilever-type photoacoustic cell. An Adaboost-enhanced improving support vector machine (Adaboost-ISVM) classifier was developed, achieving a classification accuracy of 99.17% for multi-component gases, with a Kappa coefficient of 99% and an AUC value of 99.375% for C<sub>2</sub>H<sub>2</sub>, NO<sub>2</sub> and SF<sub>6</sub> mixtures, significantly outperforming traditional SVM model. Additionally, to address the impact of temperature on detection results, this study introduced the Dung Beetle Optimizer (DBO) to optimize the Back Propagation (BP) neural network, it reduced the mean NO<sub>2</sub> concentration prediction error to 0.29 ppm over 25–60 °C, superior to traditional BP, GA-BP and SSA-BP. The integrated system offers a robust solution for real-time, reliable trace-gas monitoring in complex industrial environments.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 6","pages":"1-12"},"PeriodicalIF":2.4,"publicationDate":"2025-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11244114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145560755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Underwater Multi-User Communication System Using Photomultiplier-Tube-Based Photon Detector With Dead-Time Effect and Shot Noise 具有死区效应和散粒噪声的光电倍增管光子探测器水下多用户通信系统
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-11 DOI: 10.1109/JPHOT.2025.3631724
Fanghua Li;Xiaolin Zhou;Yongkang Chen
We investigate detection for practical photon-counting receivers in underwater optical wireless communication (UOWC) systems, where dead-time effects and multi-user interference (MUI) pose significant challenges. In this paper, we propose an iterative detection method for multi-user uplink UOWC with signal-dependent shot noise, finite sampling rates, and thermal noise. We design a sparse interleaver and construct a sparse factor graph dedicated to the low-photon regime of non-perfect photon-counting systems, improving noise resilience, mitigating MUI, and enhance detection performance. We also employ iterative multi-user detection (MUD) based on a robust maximum a posteriori probability framework to address the photomultiplier tube (PMT) dead-time effects. Simulation results show that the proposed method achieves up to 5 dB bit error rate (BER) gains over conventional photon-counting schemes and maintains robust performance under diverse channel and noise conditions.
我们研究了水下光无线通信(UOWC)系统中实际光子计数接收器的检测,其中死区时间效应和多用户干扰(MUI)构成了重大挑战。在本文中,我们提出了一种具有与信号相关的射击噪声、有限采样率和热噪声的多用户上行UOWC的迭代检测方法。我们设计了一个稀疏交织器,并构建了一个稀疏因子图,用于非完美光子计数系统的低光子状态,提高了噪声恢复能力,减轻了MUI,提高了检测性能。我们还采用基于鲁棒最大后验概率框架的迭代多用户检测(MUD)来解决光电倍增管(PMT)死区效应。仿真结果表明,该方法比传统的光子计数方法获得了高达5db的误码率增益,并在各种信道和噪声条件下保持了鲁棒性。
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引用次数: 0
Low-PAPR and Low-Complexity Transmission Schemes for DHT-Based Underwater Optical Wireless Systems 基于dhs的水下无线光学系统的低papr和低复杂度传输方案
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-11 DOI: 10.1109/JPHOT.2025.3631635
Wei-Wen Hu
This paper presents a low-complexity, low-peak-to-average power ratio (PAPR) transmission scheme for discrete Hartley transform (DHT)-based underwater optical wireless communication (UOWC) systems, termed LPC-DHT-OFDM. The proposed scheme reduces transmitter complexity and mitigates nonlinear distortion by separately processing the real and imaginary parts of the modulated symbols. The real part is generated using multiply-accumulate and anti-symmetric operations, while the imaginary part is produced through a repetition-based method, thereby eliminating conventional DHT/IDHT operations. Non-negative signals are obtained through zero-level clipping and DC biasing and are transmitted simultaneously via two LEDs. As a member of the DHT-spread OFDM family, LPC-DHT-OFDM achieves substantial reductions in both PAPR and computational complexity, making it a promising candidate for practical UOWC applications. In addition, this paper provides the numerical analysis of its spectral efficiency, electrical and optical power requirements, PAPR, bit error rate, and computational complexity.
本文提出了一种基于离散哈特利变换(DHT)的水下光无线通信(UOWC)系统的低复杂度、低峰均功率比(PAPR)传输方案,称为LPC-DHT-OFDM。该方案通过分别处理调制信号的实部和虚部,降低了发射机的复杂度,减轻了非线性失真。实部使用乘法累加和反对称操作生成,而虚部通过基于重复的方法生成,从而消除了传统的DHT/IDHT操作。通过零电平裁剪和直流偏置获得非负信号,并通过两个led同时传输。作为dht -OFDM家族的一员,LPC-DHT-OFDM在PAPR和计算复杂度方面都有很大的降低,使其成为实际UOWC应用的一个有希望的候选者。此外,本文还对其频谱效率、电光功率要求、PAPR、误码率和计算复杂度进行了数值分析。
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引用次数: 0
Goniometric Investigation of Spectral Scattering From Insect Wings in Near Infrared 昆虫翅膀近红外光谱散射的角学研究
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-11-03 DOI: 10.1109/JPHOT.2025.3628525
Emmanuel Kotu Robertson;Meng Li;Hampus Månefjord;Jadranka Rota;Nina Reistad;Mikkel Brydegaard
Insect wing interference is highly sensitive to the membrane thickness and has shown remarkable potential to differentiate insect species, both ex vivo in laboratory settings and for free-flying insects in situ. While several studies have reported diversity of wing interference patterns, no study has linked this resonant coherent scattering from membranes to the goniometric scattering phase function. We present a combined spectral and goniometric study and demonstrate that resonant wavelengths for a species selectively communicate with the thin and flat wing membrane, whereas scattering at dissonant wavelengths to a greater extent arises from the tubular veins. This report lays the groundwork for a deeper understanding of range dependence in entomological lidar and insect differentiation based on spectral and modulation properties.
昆虫翅膀干涉对膜厚度高度敏感,并显示出区分昆虫物种的显著潜力,无论是在实验室环境中的离体昆虫还是在原位自由飞行的昆虫。虽然有几项研究报道了机翼干涉模式的多样性,但没有研究将这种膜的共振相干散射与角散射相函数联系起来。我们提出了一项结合光谱和角学的研究,并证明了一个物种的共振波长有选择地与薄而平坦的翅膀膜通信,而在更大程度上,不共振波长的散射来自管状静脉。本报告为深入了解昆虫学激光雷达的距离依赖性和基于光谱和调制特性的昆虫区分奠定了基础。
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引用次数: 0
Synchronous Demodulation of Pixelated Carrier Frequency Interferograms With the Butterworth Low-Pass Filter 用巴特沃斯低通滤波器同步解调像素化载波频率干涉图
IF 2.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-10-23 DOI: 10.1109/JPHOT.2025.3624838
Zhouxuan He;Hubing Du;Yifan Wang;Chang Liu;Kexin Yin;Gaopeng Zhang
To achieve single-frame dynamic phase measurement, an error-free synchronous demodulation algorithm for two-dimensional pixelated spatial carrier interferograms based on the Butterworth low-pass filter is proposed. It can obtain relatively accurate phase distribution with only one interferograms and is suitable for different noises level. Initially, pixelated spatial carrier interferograms is constructed, and specifically designed complex reference wavefront is introduced to separate the low-frequency phase signal of interest from high-frequency components. Subsequently, the Butterworth filter with specific order is designed for precise low-pass filtering, enabling error-free wavefront phase extraction. Finally, the proposed algorithm is compared with the interpolated 4-step phase-shifting algorithm (I-4PSA). Simulation and experiments demonstrate that the proposed method achieves higher accuracy, functions as global algorithm that is insensitive to noise and phase-shift errors, and effectively avoids the resolution loss and detuning error.
为了实现单帧动态相位测量,提出了一种基于巴特沃斯低通滤波器的二维像素化空间载波干涉图无误差同步解调算法。该方法只需要一张干涉图就可以获得相对精确的相位分布,适用于不同的噪声水平。首先,构建像素化空间载波干涉图,并引入专门设计的复杂参考波前,将感兴趣的低频相位信号与高频分量分离。随后,设计了特定阶数的巴特沃斯滤波器进行精确低通滤波,实现无误差波前相位提取。最后,将该算法与插值四步移相算法(I-4PSA)进行了比较。仿真和实验表明,该方法具有较高的精度,是一种对噪声和相移误差不敏感的全局算法,有效地避免了分辨率损失和失谐误差。
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引用次数: 0
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IEEE Photonics Journal
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