典型文献
Phase calibration for integrated optical phased arrays using artificial neural network with resolved phase ambiguity
文献摘要：
Phase calibration for optical phased arrays(OPAs)is a key process to compensate for the phase deviation and retrieve the initial working state.Conventional calibration approaches based on iterative optimization algorithms are tedious and time-consuming.The essential difficulty of such a problem is to inversely solve for the phase error distribution among OPA elements from the far-field pattern of an OPA.Deep-learning-based technology might offer an alternative approach without explicitly knowing the inverse solution.However,we find that the phase ambiguities,including conjugate ambiguity and periodic ambiguity,severely deter the accuracy and efficacy of deep-learning-based calibration.Device-physics-based analysis reveals the causes of the phase ambiguities,which can be resolved by creating a tailored artificial neural network with phase-masked far-field patterns in a conjugate pair and constructing a periodic continuity-preserving loss function.Through the ambiguity-resolved neural net-work,we can extract phase error distribution in an OPA and calibrate the device in a rapid,noniterative manner from the measured far-field patterns.The proposed approach is experimentally verified.Pure main-beam profiles with＞12 dB sidelobe suppression ratios are observed.This approach can help overcome a crucial bottleneck for the further advance of OPAs in a variety of applications such as lidar.
文献关键词：
中图分类号：
作者姓名：
LEMENG LENG;ZHAOBANG ZENG;GUIHAN WU;ZHONGZHI LIN;XIANG JI;ZHIYUAN SHI;WEI JIANG
作者机构：
College of Engineering and Applied Sciences,Nanjing University,Nanjing 210093,China;Key Laboratory of Intelligent Optical Sensing and Manipulation,Ministry of Education,Nanjing University,Nanjing 210093,China;Jiangsu Key Laboratory of Artificial Functional Materials,Nanjing University,Nanjing 210093,China;National Laboratory of Solid-State Microstructures,Nanjing 210093,China
文献出处：
引用格式：
[1]LEMENG LENG;ZHAOBANG ZENG;GUIHAN WU;ZHONGZHI LIN;XIANG JI;ZHIYUAN SHI;WEI JIANG-.Phase calibration for integrated optical phased arrays using artificial neural network with resolved phase ambiguity)[J].光子学研究（英文）,2022(02):347-356
A类：
OPAs,noniterative
B类：
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AB值：
0.558121
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