Automatic modulation recognition(AMR)of radiation source signals is a research focus in the field of cognitive radio.However,the AMR of radiation source signals at low SNRs still faces a great challenge.Therefore,the ...Automatic modulation recognition(AMR)of radiation source signals is a research focus in the field of cognitive radio.However,the AMR of radiation source signals at low SNRs still faces a great challenge.Therefore,the AMR method of radiation source signals based on two-dimensional data matrix and improved residual neural network is proposed in this paper.First,the time series of the radiation source signals are reconstructed into two-dimensional data matrix,which greatly simplifies the signal preprocessing process.Second,the depthwise convolution and large-size convolutional kernels based residual neural network(DLRNet)is proposed to improve the feature extraction capability of the AMR model.Finally,the model performs feature extraction and classification on the two-dimensional data matrix to obtain the recognition vector that represents the signal modulation type.Theoretical analysis and simulation results show that the AMR method based on two-dimensional data matrix and improved residual network can significantly improve the accuracy of the AMR method.The recognition accuracy of the proposed method maintains a high level greater than 90% even at -14 dB SNR.展开更多
The interaction between the cell membrane and the extracellular matrix is crucial for many cellular functions by modulating mechanosensitive signaling pathways.Physical properties of the extracellular matrix such as s...The interaction between the cell membrane and the extracellular matrix is crucial for many cellular functions by modulating mechanosensitive signaling pathways.Physical properties of the extracellular matrix such as stiffness and topography affect such interactions.Our recent work reveals that surface topography of tens to hundreds of nanometer scale modulates cell signaling by activating intracellular curvature-sensitive proteins.We use vertical nanostructures protruding from a flat surface as a platform to induce precise curvatures on the cell membrane and to probe biological processes in live cells.Vertical nanopillars deform the plasma membrane inwards and induce membrane curvature when the cell engulfs them,leading to a reduction of the membrane-substrate gap distance.We found that the high membrane curvature induced by vertical nanopillars significantly affects the distribution of curvature-sensitive proteins and stimulates several cellular processes in live cells including cellular endocytosis and cytoskeleton dynamics.Our studies show a strong interplay between biological cells and nano-featured surfaces,which is an essential consideration for future development of interfacing devices.展开更多
针对单相矩阵式无线电能传输MC-WPT(matrix converter based wireless power transfer)系统网侧电流谐波含量大的问题,提出1种谐波抑制调制策略,可有效降低网侧电流低次谐波含量及总谐波失真度THD(total harmonic distortion)。分析谐...针对单相矩阵式无线电能传输MC-WPT(matrix converter based wireless power transfer)系统网侧电流谐波含量大的问题,提出1种谐波抑制调制策略,可有效降低网侧电流低次谐波含量及总谐波失真度THD(total harmonic distortion)。分析谐振槽电压电流特性,基于参数归一化方法得到2个基波分量的等效电路,进而推导出MC-WPT的数学模型。在此基础上,以消除低次谐波含量为目标,应用计算法得到接收侧H桥的优化调制波,使网侧电流低频成分仅有工频分量,从而降低网侧电流THD。最后搭建实验平台,验证所提谐波抑制调制策略的可行性与有效性。展开更多
To make the modulation classification system more suitable for signals in a wide range of signal to noise rate （SNR）, a feature extraction method based on signal wavelet packet transform modulus maxima matrix （WPT...To make the modulation classification system more suitable for signals in a wide range of signal to noise rate （SNR）, a feature extraction method based on signal wavelet packet transform modulus maxima matrix （WPTMMM） and a novel support vector machine fuzzy network （SVMFN） classifier is presented. The WPTMMM feature extraction method has less computational complexity, more stability, and has the preferable advantage of robust with the time parallel moving and white noise. Further, the SVMFN uses a new definition of fuzzy density that incorporates accuracy and uncertainty of the classifiers to improve recognition reliability to classify nine digital modulation types （i.e. 2ASK, 2FSK, 2PSK, 4ASK, 4FSK, 4PSK, 16QAM, MSK, and OQPSK）. Computer simulation shows that the proposed scheme has the advantages of high accuracy and reliability （success rates are over 98% when SNR is not lower than 0dB）, and it adapts to engineering applications.展开更多
Matrix converter fed motor drive is superior to pulse width modulation inverter drives since it not only provides bi-directional power flow,sinusoidal input/output currents,unity input power factor,but also allows a c...Matrix converter fed motor drive is superior to pulse width modulation inverter drives since it not only provides bi-directional power flow,sinusoidal input/output currents,unity input power factor,but also allows a compact design due to the lack of DC-link capacitors for energy storage.In this paper,model and control of matrix converter fed induction motor drive system are analyzed.A combined control strategy is simplified and improved,which realizes space vector pulse width modulation of matrix converter and rotor flux oriented vector control technique for induction motor drive simultaneously.This control strategy combines the advantages of matrix converter with the good drive performance of vector control technique.Experimental results demonstrate the feasibility and effectiveness of the proposed control strategy.展开更多
Error codes induced by M-ary modulation and modulation selection in network-based control systems are studied.It is the first time the issue of error codes induced by M-ary modulation is addressed in control field.In ...Error codes induced by M-ary modulation and modulation selection in network-based control systems are studied.It is the first time the issue of error codes induced by M-ary modulation is addressed in control field.In network-based control systems,error codes induced by noisy channel can significantly decrease the quality of control.To solve this problem,the network-based control system with delay and noisy channel is firstly modeled as an asynchronous dynamic system(ADS).Secondly,conditions of packet with error codes(PEC)loss rate by using M-ary modulation are obtained based on dynamic output feedback scheme.Thirdly,more importantly,the selection principle of M-ary modulation is proposed according to the measured signal-to-noise ratio(SNR)and conditions of PEC loss rate.Finally,system stability is analyzed and controller is designed through Lyapunov function and linear matrix inequality(LMI)scheme,and numerical simulations are made to demonstrate the effectiveness of the proposed scheme.展开更多
模块化导弹能够利用分系统的灵活装配快速形成典型作战单元以适应复杂多样化的作战任务,是未来导弹武器系统的重要发展方向之一。针对传统的导弹模块划分方法无法充分发挥导弹模块化特性带来的架构优势问题,提出一种基于需求-功能-结构...模块化导弹能够利用分系统的灵活装配快速形成典型作战单元以适应复杂多样化的作战任务,是未来导弹武器系统的重要发展方向之一。针对传统的导弹模块划分方法无法充分发挥导弹模块化特性带来的架构优势问题,提出一种基于需求-功能-结构关系矩阵的导弹模块划分方法。首先,基于质量功能展开(quality function deployment,QFD)和公理设计方法提出连接设计需求、设计功能与物理组件相互作用关系的设计结构矩阵(design structure matrix,DSM)构建方法,并引入约束矩阵描述物理组件在机械、电气和功能上的关联度,以此形成基于遗传算法的导弹模块划分流程。最后,以一防空导弹为应用实例进行模块划分,并通过需求回溯分析验证模块划分结果的合理性和可行性。展开更多
模块间接地故障是H桥级联型电池储能系统(cascaded H bridge based battery energy storage system,CHB-BESS)的易发故障,快速诊断故障位置对减少故障损失至关重要。模块间接地故障的故障特征主要体现在零序电流上,会受到接地过渡电阻...模块间接地故障是H桥级联型电池储能系统(cascaded H bridge based battery energy storage system,CHB-BESS)的易发故障,快速诊断故障位置对减少故障损失至关重要。模块间接地故障的故障特征主要体现在零序电流上,会受到接地过渡电阻的影响。为实现接地过渡电阻不确定情况下,故障模块位置的快速准确鲁棒定位,本工作提出了一种基于损失特征矩阵的快速故障诊断方法。首先,本工作建立了零序等效电路模型;然后,将零序电流模型离散化;接着,提出基于损失特征矩阵的定位方法,该方法使用拓扑矩阵描述故障位置和过渡电阻的遍历信息,基于离散化模型来遍历计算零序电流,将计算结果与测量结果的偏差记录在损失特征矩阵中,通过偏差最优解确定故障位置;其次,本工作证实了故障定位问题作为最优化问题具有最优解唯一性,偏差最优解在接地过渡电阻不确定的情况下可获得准确的故障发生位置;最终,基于最优解唯一性提出了最优化计算的加速方法。实测表明,所提方法的平均定位误差仅为0.2个子模块,在接地过渡电阻较大范围不确定的情况下实现了准确定位,并且所提加速方法显著提高诊断速度。展开更多
基金National Natural Science Foundation of China under Grant No.61973037China Postdoctoral Science Foundation under Grant No.2022M720419。
文摘Automatic modulation recognition(AMR)of radiation source signals is a research focus in the field of cognitive radio.However,the AMR of radiation source signals at low SNRs still faces a great challenge.Therefore,the AMR method of radiation source signals based on two-dimensional data matrix and improved residual neural network is proposed in this paper.First,the time series of the radiation source signals are reconstructed into two-dimensional data matrix,which greatly simplifies the signal preprocessing process.Second,the depthwise convolution and large-size convolutional kernels based residual neural network(DLRNet)is proposed to improve the feature extraction capability of the AMR model.Finally,the model performs feature extraction and classification on the two-dimensional data matrix to obtain the recognition vector that represents the signal modulation type.Theoretical analysis and simulation results show that the AMR method based on two-dimensional data matrix and improved residual network can significantly improve the accuracy of the AMR method.The recognition accuracy of the proposed method maintains a high level greater than 90% even at -14 dB SNR.
基金supported by two NIH grants 1R01GM125737 and 1R01GM117263 to BC
文摘The interaction between the cell membrane and the extracellular matrix is crucial for many cellular functions by modulating mechanosensitive signaling pathways.Physical properties of the extracellular matrix such as stiffness and topography affect such interactions.Our recent work reveals that surface topography of tens to hundreds of nanometer scale modulates cell signaling by activating intracellular curvature-sensitive proteins.We use vertical nanostructures protruding from a flat surface as a platform to induce precise curvatures on the cell membrane and to probe biological processes in live cells.Vertical nanopillars deform the plasma membrane inwards and induce membrane curvature when the cell engulfs them,leading to a reduction of the membrane-substrate gap distance.We found that the high membrane curvature induced by vertical nanopillars significantly affects the distribution of curvature-sensitive proteins and stimulates several cellular processes in live cells including cellular endocytosis and cytoskeleton dynamics.Our studies show a strong interplay between biological cells and nano-featured surfaces,which is an essential consideration for future development of interfacing devices.
文摘针对单相矩阵式无线电能传输MC-WPT(matrix converter based wireless power transfer)系统网侧电流谐波含量大的问题,提出1种谐波抑制调制策略,可有效降低网侧电流低次谐波含量及总谐波失真度THD(total harmonic distortion)。分析谐振槽电压电流特性,基于参数归一化方法得到2个基波分量的等效电路,进而推导出MC-WPT的数学模型。在此基础上,以消除低次谐波含量为目标,应用计算法得到接收侧H桥的优化调制波,使网侧电流低频成分仅有工频分量,从而降低网侧电流THD。最后搭建实验平台,验证所提谐波抑制调制策略的可行性与有效性。
文摘To make the modulation classification system more suitable for signals in a wide range of signal to noise rate （SNR）, a feature extraction method based on signal wavelet packet transform modulus maxima matrix （WPTMMM） and a novel support vector machine fuzzy network （SVMFN） classifier is presented. The WPTMMM feature extraction method has less computational complexity, more stability, and has the preferable advantage of robust with the time parallel moving and white noise. Further, the SVMFN uses a new definition of fuzzy density that incorporates accuracy and uncertainty of the classifiers to improve recognition reliability to classify nine digital modulation types （i.e. 2ASK, 2FSK, 2PSK, 4ASK, 4FSK, 4PSK, 16QAM, MSK, and OQPSK）. Computer simulation shows that the proposed scheme has the advantages of high accuracy and reliability （success rates are over 98% when SNR is not lower than 0dB）, and it adapts to engineering applications.
文摘Matrix converter fed motor drive is superior to pulse width modulation inverter drives since it not only provides bi-directional power flow,sinusoidal input/output currents,unity input power factor,but also allows a compact design due to the lack of DC-link capacitors for energy storage.In this paper,model and control of matrix converter fed induction motor drive system are analyzed.A combined control strategy is simplified and improved,which realizes space vector pulse width modulation of matrix converter and rotor flux oriented vector control technique for induction motor drive simultaneously.This control strategy combines the advantages of matrix converter with the good drive performance of vector control technique.Experimental results demonstrate the feasibility and effectiveness of the proposed control strategy.
基金Project(61172022) supported by the National Natural Science Foundation of ChinaProject(GDW20151100010) supported by the State Administration of Foreign Experts Affairs of China
文摘Error codes induced by M-ary modulation and modulation selection in network-based control systems are studied.It is the first time the issue of error codes induced by M-ary modulation is addressed in control field.In network-based control systems,error codes induced by noisy channel can significantly decrease the quality of control.To solve this problem,the network-based control system with delay and noisy channel is firstly modeled as an asynchronous dynamic system(ADS).Secondly,conditions of packet with error codes(PEC)loss rate by using M-ary modulation are obtained based on dynamic output feedback scheme.Thirdly,more importantly,the selection principle of M-ary modulation is proposed according to the measured signal-to-noise ratio(SNR)and conditions of PEC loss rate.Finally,system stability is analyzed and controller is designed through Lyapunov function and linear matrix inequality(LMI)scheme,and numerical simulations are made to demonstrate the effectiveness of the proposed scheme.
文摘模块化导弹能够利用分系统的灵活装配快速形成典型作战单元以适应复杂多样化的作战任务,是未来导弹武器系统的重要发展方向之一。针对传统的导弹模块划分方法无法充分发挥导弹模块化特性带来的架构优势问题,提出一种基于需求-功能-结构关系矩阵的导弹模块划分方法。首先,基于质量功能展开(quality function deployment,QFD)和公理设计方法提出连接设计需求、设计功能与物理组件相互作用关系的设计结构矩阵(design structure matrix,DSM)构建方法,并引入约束矩阵描述物理组件在机械、电气和功能上的关联度,以此形成基于遗传算法的导弹模块划分流程。最后,以一防空导弹为应用实例进行模块划分,并通过需求回溯分析验证模块划分结果的合理性和可行性。
文摘模块间接地故障是H桥级联型电池储能系统(cascaded H bridge based battery energy storage system,CHB-BESS)的易发故障,快速诊断故障位置对减少故障损失至关重要。模块间接地故障的故障特征主要体现在零序电流上,会受到接地过渡电阻的影响。为实现接地过渡电阻不确定情况下,故障模块位置的快速准确鲁棒定位,本工作提出了一种基于损失特征矩阵的快速故障诊断方法。首先,本工作建立了零序等效电路模型;然后,将零序电流模型离散化;接着,提出基于损失特征矩阵的定位方法,该方法使用拓扑矩阵描述故障位置和过渡电阻的遍历信息,基于离散化模型来遍历计算零序电流,将计算结果与测量结果的偏差记录在损失特征矩阵中,通过偏差最优解确定故障位置;其次,本工作证实了故障定位问题作为最优化问题具有最优解唯一性,偏差最优解在接地过渡电阻不确定的情况下可获得准确的故障发生位置;最终,基于最优解唯一性提出了最优化计算的加速方法。实测表明,所提方法的平均定位误差仅为0.2个子模块,在接地过渡电阻较大范围不确定的情况下实现了准确定位,并且所提加速方法显著提高诊断速度。
