The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.How...The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.However,conventional polarization detection systems are often bulky and complex,limiting their poten⁃tial for broader applications.To address the challenges of miniaturization,integrated polarization detectors have been extensively explored in recent years,achieving significant advancements in performance and functionality.In this review,we focus mainly on integrated polarization detectors with innovative features,including infinitely high polarization discrimination,ultrahigh sensitivity to polarization state change,full Stokes parameters measure⁃ment,and simultaneous perception of polarization and other key properties of light.Lastly,we discuss the oppor⁃tunities and challenges for the future development of integrated polarization photodetectors.展开更多
动力电池在复杂多变工况下,离线参数辨识无法实时反映电池动态特性导致参数辨识精度低,无迹卡尔曼滤波(untraceable Kalman filter,UKF)在估计电池荷电状态(State of charge,SOC)时对噪声处理十分有限,同时在处理协方差矩阵时出现非正...动力电池在复杂多变工况下,离线参数辨识无法实时反映电池动态特性导致参数辨识精度低,无迹卡尔曼滤波(untraceable Kalman filter,UKF)在估计电池荷电状态(State of charge,SOC)时对噪声处理十分有限,同时在处理协方差矩阵时出现非正定问题会导致算法波动和估计失效。基于双极化(dual polarization,DP)电路模型提出了遗忘因子递推最小二乘法(forgotten factor recursive least squares,FFRLS)和奇异值分解-自适应无迹卡尔曼滤波法(singular value decomposition-adaptive untraceable Kalman filter,SVD-AUKF)对电池SOC进行在线估计。仿真结果表明,在复杂工况下(美国联邦城市运行工况),与真实SOC值进行比较,SVD-AUKF进行模拟验证时平均绝对误差和均方根误差分别为0.5286%和0.5447%,在传统UKF算法基础上分别提高了57.96%和63.3%,进一步表明SVD-AUKF准确性和稳定性更高。展开更多
A spacecraft attitude estimation method based on electromagnetic vector sensors(EMVS)array is proposed,which employs the orthogonally constrained parallel factor(PARAFAC)algorithm and makes use of measurements of the ...A spacecraft attitude estimation method based on electromagnetic vector sensors(EMVS)array is proposed,which employs the orthogonally constrained parallel factor(PARAFAC)algorithm and makes use of measurements of the two-dimensional direction-of-arrival(2D-DOA)and polarization angles,aiming to address the issues of incomplete,asynchronous,and inaccurate third-party reference used for attitude estimation in spacecraft docking missions by employing the electromagnetic wave’s three-dimensional(3D)wave structure as a complete third-party reference.Comparative analysis with state-ofthe-art algorithms shows significant improvements in estimation accuracy and computational efficiency with this algorithm.Numerical simulations have verified the effectiveness and superiority of this method.A high-precision,reliable,and cost-effective method for rapid spacecraft attitude estimation is provided in this paper.展开更多
基金Supported by the National Key Research and Development Program of China(2022YFA1404602)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0580000)+3 种基金the National Natural Science Foundation of China(U23B2045,62305362)the Program of Shanghai Academic/Technology Research Leader(22XD1424400)the Fund of SITP Innovation Foundation(CX-461 and CX-522)Special Project to Seize the Commanding Heights of Science and Technology of Chinese Academy of Sciences,subtopic(GJ0090406-6).
文摘The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.However,conventional polarization detection systems are often bulky and complex,limiting their poten⁃tial for broader applications.To address the challenges of miniaturization,integrated polarization detectors have been extensively explored in recent years,achieving significant advancements in performance and functionality.In this review,we focus mainly on integrated polarization detectors with innovative features,including infinitely high polarization discrimination,ultrahigh sensitivity to polarization state change,full Stokes parameters measure⁃ment,and simultaneous perception of polarization and other key properties of light.Lastly,we discuss the oppor⁃tunities and challenges for the future development of integrated polarization photodetectors.
文摘动力电池在复杂多变工况下,离线参数辨识无法实时反映电池动态特性导致参数辨识精度低,无迹卡尔曼滤波(untraceable Kalman filter,UKF)在估计电池荷电状态(State of charge,SOC)时对噪声处理十分有限,同时在处理协方差矩阵时出现非正定问题会导致算法波动和估计失效。基于双极化(dual polarization,DP)电路模型提出了遗忘因子递推最小二乘法(forgotten factor recursive least squares,FFRLS)和奇异值分解-自适应无迹卡尔曼滤波法(singular value decomposition-adaptive untraceable Kalman filter,SVD-AUKF)对电池SOC进行在线估计。仿真结果表明,在复杂工况下(美国联邦城市运行工况),与真实SOC值进行比较,SVD-AUKF进行模拟验证时平均绝对误差和均方根误差分别为0.5286%和0.5447%,在传统UKF算法基础上分别提高了57.96%和63.3%,进一步表明SVD-AUKF准确性和稳定性更高。
文摘A spacecraft attitude estimation method based on electromagnetic vector sensors(EMVS)array is proposed,which employs the orthogonally constrained parallel factor(PARAFAC)algorithm and makes use of measurements of the two-dimensional direction-of-arrival(2D-DOA)and polarization angles,aiming to address the issues of incomplete,asynchronous,and inaccurate third-party reference used for attitude estimation in spacecraft docking missions by employing the electromagnetic wave’s three-dimensional(3D)wave structure as a complete third-party reference.Comparative analysis with state-ofthe-art algorithms shows significant improvements in estimation accuracy and computational efficiency with this algorithm.Numerical simulations have verified the effectiveness and superiority of this method.A high-precision,reliable,and cost-effective method for rapid spacecraft attitude estimation is provided in this paper.
