In this paper, a novel algorithm is presented for direction of arrival（DOA） estimation and array self-calibration in the presence of unknown mutual coupling. In order to highlight the relationship between the array ...In this paper, a novel algorithm is presented for direction of arrival（DOA） estimation and array self-calibration in the presence of unknown mutual coupling. In order to highlight the relationship between the array output and mutual coupling coefficients, we present a novel model of the array output with the unknown mutual coupling coefficients. Based on this model, we use the space alternating generalized expectation-maximization（SAGE） algorithm to jointly estimate the DOA parameters and the mutual coupling coefficients. Unlike many existing counterparts, our method requires neither calibration sources nor initial calibration information. At the same time,our proposed method inherits the characteristics of good convergence and high estimation precision of the SAGE algorithm. By numerical experiments we demonstrate that our proposed method outperforms the existing method for DOA estimation and mutual coupling calibration.展开更多
In practice, the failure rate of most equipment exhibits different tendencies at different stages and even its failure rate curve behaves a multimodal trace during its life cycle. As a result,traditionally evaluating ...In practice, the failure rate of most equipment exhibits different tendencies at different stages and even its failure rate curve behaves a multimodal trace during its life cycle. As a result,traditionally evaluating the reliability of equipment with a single model may lead to severer errors.However, if lifetime is divided into several different intervals according to the characteristics of its failure rate, piecewise fitting can more accurately approximate the failure rate of equipment. Therefore, in this paper, failure rate is regarded as a piecewise function, and two kinds of segmented distribution are put forward to evaluate reliability. In order to estimate parameters in the segmented reliability function, Bayesian estimation and maximum likelihood estimation（MLE） of the segmented distribution are discussed in this paper. Since traditional information criterion is not suitable for the segmented distribution, an improved information criterion is proposed to test and evaluate the segmented reliability model in this paper. After a great deal of testing and verification,the segmented reliability model and its estimation methods presented in this paper are proven more efficient and accurate than the traditional non-segmented single model, especially when the change of the failure rate is time-phased or multimodal. The significant performance of the segmented reliability model in evaluating reliability of proximity sensors of leading-edge flap in civil aircraft indicates that the segmented distribution and its estimation method in this paper could be useful and accurate.展开更多
A power train dynamics model of a coaxial parallel hybrid electric vehicle （HEV） was built for different clutch operating states. With the state vector constituted by the motor rotation speed and the clutch transmit...A power train dynamics model of a coaxial parallel hybrid electric vehicle （HEV） was built for different clutch operating states. With the state vector constituted by the motor rotation speed and the clutch transmitting torque at two successive time steps, a discrete state space model for estimating the clutch transmitting torque was built, and the Kalman filtering algorithm was used to estimate the clutch transmitting torque. The Matlab/Simulink was employed to simulate the clutch transmitting torque for two mode-switch processes. Estimation errors were analyzed through compa- ring the estimated and simulated values of the clutch torque. Impact of the noise covariance and the sample time on clutch torque estimation errors were explored. The results show that the developed estimation method can be used to estimate the clutch transmitting torque for HEV with good accura- cy. The results are useful for torque direct control of automatic diaphragm clutches.展开更多
Higher-order almost cyclostationary complex processes are complex random signals with almost periodically time-varying statistics, which is important to the research of non-Gaussian signals in information system. In t...Higher-order almost cyclostationary complex processes are complex random signals with almost periodically time-varying statistics, which is important to the research of non-Gaussian signals in information system. In tins paper, smoothed polyperiodograms are proposed for related to cyclic polyspectral estimation and are shown to be consistent and asymptotically complex normal. Asymptotic covariance expressions are derived along with their computable forms.展开更多
本研究利用Simrad EK60科学探鱼仪(38 k Hz)于2013年春季和2014年春季采集的南沙和中沙、西沙海域渔业声学数据,结合中层拖网取样,采用回声积分法研究了南海中南部中层鱼的资源量及其时空分布特征。结果显示,2014年春季中、西沙海域9次...本研究利用Simrad EK60科学探鱼仪(38 k Hz)于2013年春季和2014年春季采集的南沙和中沙、西沙海域渔业声学数据,结合中层拖网取样,采用回声积分法研究了南海中南部中层鱼的资源量及其时空分布特征。结果显示,2014年春季中、西沙海域9次中层拖网作业共捕获和鉴定鱼类和头足类79种,隶属于3纲16目37科60属,其中硬骨鱼纲的种类最多(65种),鞘亚纲次之(13种),软骨鱼纲1种,硬骨鱼纲中巨口鱼科、灯笼鱼科和钻光鱼科的种类最多,分别有20种、13种和6种;南沙海域中层鱼声学积分值(nautical area scattering coefficient,m^2/nmi^2)显著低于中沙、西沙及邻近海域,前者夜间向上迁移的强度高于后者;2013年春季南沙海域夜间10~200 m和白天200~1000 m声学积分值构成没有显著差异(P>0.05),而2014年春季中沙、西沙海域夜间10~200 m和白天200~1000 m声学积分值构成有极显著差异(P<0.01);南沙海域白天200~1000 m不同纬度组间中层鱼声学积分值构成有极显著差异(P<0.01),中沙、西沙海域声学积分值构成亦有极显著差异(P<0.01);南海中南部中层鱼声学积分值是(2387±601)m^2/nmi^2,基于现存公开发表的中层鱼的声学目标强度数据并取其均值,推算南海中南部中层鱼资源量是(8200±2100)万t。研究表明,南海中南部中层鱼声学积分值比全球平均值高约29.2%,可能是我国未来具有开发价值的大宗生物资源。展开更多
拼接篡改是一类常见的图像伪造手段,现有取证方法难以实现图像中拼接篡改区域的自动检测与精确定位,导致拼接篡改伪造图像的取证长期依赖人工经验.基于图像中原始区域与拼接篡改区域所反映的光源色温的差异性,提出一种自动色温距离阈值...拼接篡改是一类常见的图像伪造手段,现有取证方法难以实现图像中拼接篡改区域的自动检测与精确定位,导致拼接篡改伪造图像的取证长期依赖人工经验.基于图像中原始区域与拼接篡改区域所反映的光源色温的差异性,提出一种自动色温距离阈值分类的图像拼接篡改检测与定位方法.首先,变换待检验图像至YCb Cr色彩空间,并按照Grid-based方式结构化分解为大小的子图像块;然后,利用自动白平衡(Automatic white balance,AWB)中的白点检测原理对每一个子图像块进行色温估计,计算子图像块与参考区域之间的色温距离;最后,采用最大类间方差法自适应地求取色温距离分类的最佳阈值,对子图像块进行分类标注,实现了图像拼接篡改区域的自动检测与精确定位.实验表明,该方法能够实现图像拼接篡改区域的自动检测与定位,具有较高的量化检测精度.展开更多
基金supported by the National Natural Science Foundation of China (No. 61302141)
文摘In this paper, a novel algorithm is presented for direction of arrival（DOA） estimation and array self-calibration in the presence of unknown mutual coupling. In order to highlight the relationship between the array output and mutual coupling coefficients, we present a novel model of the array output with the unknown mutual coupling coefficients. Based on this model, we use the space alternating generalized expectation-maximization（SAGE） algorithm to jointly estimate the DOA parameters and the mutual coupling coefficients. Unlike many existing counterparts, our method requires neither calibration sources nor initial calibration information. At the same time,our proposed method inherits the characteristics of good convergence and high estimation precision of the SAGE algorithm. By numerical experiments we demonstrate that our proposed method outperforms the existing method for DOA estimation and mutual coupling calibration.
基金supported by the National Natural Science Foundation of China (Nos. 60672164, 60939003, 61079013, 60879001, 90000871)the Special Project about Humanities and Social Sciences in Ministry of Education of China (No. 16JDGC008)+2 种基金National Natural Science Funds and Civil Aviation Mutual Funds (Nos. U1533128 and U1233114)Study On Reusing Sketch User Interface Oriented Design Knowledge (No. 16KJA520003)Six Talent Peaks Project In Jiangsu Province (No. 2016-XYDXXJS-088)
文摘In practice, the failure rate of most equipment exhibits different tendencies at different stages and even its failure rate curve behaves a multimodal trace during its life cycle. As a result,traditionally evaluating the reliability of equipment with a single model may lead to severer errors.However, if lifetime is divided into several different intervals according to the characteristics of its failure rate, piecewise fitting can more accurately approximate the failure rate of equipment. Therefore, in this paper, failure rate is regarded as a piecewise function, and two kinds of segmented distribution are put forward to evaluate reliability. In order to estimate parameters in the segmented reliability function, Bayesian estimation and maximum likelihood estimation（MLE） of the segmented distribution are discussed in this paper. Since traditional information criterion is not suitable for the segmented distribution, an improved information criterion is proposed to test and evaluate the segmented reliability model in this paper. After a great deal of testing and verification,the segmented reliability model and its estimation methods presented in this paper are proven more efficient and accurate than the traditional non-segmented single model, especially when the change of the failure rate is time-phased or multimodal. The significant performance of the segmented reliability model in evaluating reliability of proximity sensors of leading-edge flap in civil aircraft indicates that the segmented distribution and its estimation method in this paper could be useful and accurate.
基金Supported by the National High Technology Research and Development Program of China(863Program)(2012AA111104)
文摘A power train dynamics model of a coaxial parallel hybrid electric vehicle （HEV） was built for different clutch operating states. With the state vector constituted by the motor rotation speed and the clutch transmitting torque at two successive time steps, a discrete state space model for estimating the clutch transmitting torque was built, and the Kalman filtering algorithm was used to estimate the clutch transmitting torque. The Matlab/Simulink was employed to simulate the clutch transmitting torque for two mode-switch processes. Estimation errors were analyzed through compa- ring the estimated and simulated values of the clutch torque. Impact of the noise covariance and the sample time on clutch torque estimation errors were explored. The results show that the developed estimation method can be used to estimate the clutch transmitting torque for HEV with good accura- cy. The results are useful for torque direct control of automatic diaphragm clutches.
文摘Higher-order almost cyclostationary complex processes are complex random signals with almost periodically time-varying statistics, which is important to the research of non-Gaussian signals in information system. In tins paper, smoothed polyperiodograms are proposed for related to cyclic polyspectral estimation and are shown to be consistent and asymptotically complex normal. Asymptotic covariance expressions are derived along with their computable forms.
文摘拼接篡改是一类常见的图像伪造手段,现有取证方法难以实现图像中拼接篡改区域的自动检测与精确定位,导致拼接篡改伪造图像的取证长期依赖人工经验.基于图像中原始区域与拼接篡改区域所反映的光源色温的差异性,提出一种自动色温距离阈值分类的图像拼接篡改检测与定位方法.首先,变换待检验图像至YCb Cr色彩空间,并按照Grid-based方式结构化分解为大小的子图像块;然后,利用自动白平衡(Automatic white balance,AWB)中的白点检测原理对每一个子图像块进行色温估计,计算子图像块与参考区域之间的色温距离;最后,采用最大类间方差法自适应地求取色温距离分类的最佳阈值,对子图像块进行分类标注,实现了图像拼接篡改区域的自动检测与精确定位.实验表明,该方法能够实现图像拼接篡改区域的自动检测与定位,具有较高的量化检测精度.
