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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1625-1636页

作者： Mingchao Xia jinping sun Qifang Chen School of Electrical Engineering Beijing Jiaotong University(BJTU)Beijing 100044China IEEE

The accuracy of distribution system state estimation(DDSE)is reduced when phasor measurement unit(PMU)measurements contain outliers because of cyber attacks or global positioning system spoofing ***,to enhance the robustness of DDSE to measurement outliers,approximate the target distribution of Metropolis-Hastings(MH)sampling,and judge the prediction of the long short-term memory(LSTM)network,this paper proposes an outlier reconstruction based state estimation method using the equivalent model of the LSTM network and MH sampling(E-LM model),motivated by the characteristics of the chronological correlations of PMU ***,the target distribution of outlier reconstruction is derived using a kernel density estimation ***,the reasons and advantages of the E-LM model are explained and analyzed from a mathematical point of *** proposed LSTM-based MH sampling can approximate the target distribution of MH sampling to decrease the number of the futile ***,the proposed MH-based forecasting of the LSTM can judge each LSTM prediction,which is independent of its true ***,simulations are conducted to evaluate the performance of the E-LM model by integrating the LSTM network and the MH sampling into the outlier reconstruction based DDSE.

关键词： Distribution system state estimation(DDSE) outlier reconstruction phasor measurement unit(PMU) equivalent model long short-term memory(LSTM)network Metropolis-Hastings sampling

Data-driven Detection and Identification of Line Parameters with PMU and Unsynchronized SCADA Measurements in Distribution Grids

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 261-271页

作者： jinping sun Qifang Chen Mingchao Xia School of Electrical Engineering Beijing Jiaotong University(BJTU)Beijing 100044China

Line parameters play an important role in the control and management of distribution ***,phasor measurement unit(PMU)systems and supervisory control and data acquisition(SCADA)systems coexist in distribution ***,SCADA and PMU measurements usually do not match each other,resulting in inaccurate detection and identification of line parameters based on *** solve this problem,a data-driven method is *** measurements are taken as samples and PMU measurements as the population.A probability parameter identification index(PPII)is derived to detect the whole line parameter based on the probability density function(PDF)parameters of the *** parameter identification,a power-loss PDF with the PMU time stamps and a power-loss chronological PDF are derived via kernel density estimation(KDE)and a conditional ***,the power-loss samples with the PMU time stamps and chronological correlations are generated by the two PDFs of the power loss via the Metropolis-Hastings(MH)***,using the power-loss samples and PMU current measurements,the line parameters are identified using the total least squares(TLS)*** simulations demonstrate the effectiveness of the proposed method for distribution network line parameter detection and identification.

关键词： Distribution systems line parameter detection and identification probability density function sampling algorithm the time skew of PMU and SCADA measurements

Range walk and array rotation in space-time adaptive processing:effects and compensations

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Journal of Systems Engineering and Electronics 2010年第4期21卷 537-543页

作者： jinping sun Guohua Wang Shiyi Mao School of Electronic and Information Engineering Beihang University Beijing 100191 P. R. China School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue 639798 Singapore

This paper proposes a unified clutter model incorporating the effects of range walk and array rotation for space-time adaptive processing（STAP） in airborne multi-channel early-warning *** on this clutter model,STAP performance is then analyzed from the perspective of covariance matrix tapering（CMT）.For STAP performance degradation due to array rotation,a determinate compensation method is proposed based on the CMT *** examples are provided to verify the analysis and the proposed compensation method.

关键词： radar space-time adaptive processing clutter covariance matrix tapering.

Knowledge-based bridge detection from SAR images

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Journal of Systems Engineering and Electronics 2009年第5期20卷 929-936页

作者： Wang Wenguang sun jinping Hu Rui Mao Shiyi School of Electronic and Information Engineering Beihang Univ. Beijing 100191 P. R. China

Automatic bridge detection is an important application of SAR images. Differed from the classical CFAR method, a new knowledge-based bridge detection approach is proposed. The method not only uses the backscattering intensity difference between targets and background but also applies the contextual information and spatial relationship between objects. According to bridges＇ special characteristics and scattering properties in SAR images, the new knowledge-based method includes three processes： river segmentation, potential bridge areas detection and bridge discrimination. The application to AIRSAR data shows that the new method is not sensitive to rivers＇ shape. Moreover, this method can detect bridges successfully when river segmentation is not very exact and is more robust than the radius projection method.

关键词： knowledge-based bridge detection SAR contextual information mathematical morphology.

Coordinated adaptive beamformer over distributed antenna network

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Chinese Journal of Aeronautics 2013年第2期26卷 357-362页

作者： Liu Desheng Lu Songtao sun jinping Wang Jun School of Automation Science and Electrical Engineering Beihang University Department of Electrical and Computer Engineering Iowa State University School of Electronic and Information Engineering Beihang University

The spatial diversity of distributed network demands the individual filter to accommodate the topology of interference environment. In this paper, a type of distributed adaptive beamformer is proposed to mitigate interference over coordinated antenna arrays network. The proposed approach is formulated as generalized sidelobe canceller （GSC） structure to facilitate the convex combination of neighboring nodes＇ weights, and then it is solved by unconstrained least mean square （LMS） algorithm due to simplicity. Numerical results show that the robustness and convergence rate of antenna arrays network can be significantly improved in strong interference scenario. And they also clearly illustrate that mixing vector is optimized adaptively and adjusted according to the spatial diversity of the distributed nodes which are placed in different power of received signals to interference ratio （SIR） environments.

关键词： Adaptive algorithm Antenna array Distributed network Energy efficient network Generalized sidelobe canceller Least mean square filter

Fast Algorithm for Inverse Two-Dimensional S Transform and Its Application in Time-Frequency Filtering for SAR Image Despeckling

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Chinese Journal of Electronics 2016年第1期25卷 100-105页

作者： GAO Fei ZHANG Ye WANG Jun sun jinping School of Electronic and Information Engineering Beihang University

S transform is a time-frequency representation which has been applied in various fields, yet suffers the problem of time and resource consumption. In order to overcome this problem and facilitate its application in image analysis, we introduce a fast algorithm for inverse twodimensional S transform. A two-dimensional S transform time-frequency filter for Synthetic aperture radar(SAR)image despeckling is proposed on the basis of this fast algorithm. Synthetic and actual SAR images are both used to quantitatively evaluate its performance. The proposed algorithm is compared with several classical algorithms with better results both in speckle noise reduction and detail preservation.

关键词： Time-frequency representation Fast al gorithm Two-dimensional S transform Time-frequency filter Synthetic aperture radar(SAR) image Speckle noise reduction

Adaptive Multi-Bernoulli Filter Without Need of Prior Birth Multi-Bernoulli Random Finite Set

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Chinese Journal of Electronics 2018年第1期27卷 115-122页

作者： YUAN Changshun WANG Jun LEI Peng sun jinping School of Electronic and Information Engineering Beihang University

Conventional Multi-Bernoulli(MBer) filter assumes that the birth MBer Random finite set(RFS)is known a priori. However, this is not true for practical scenario. This paper proposes a novel extension of the MBer filter which eliminates the reliance of the prior birth MBer RFS and relaxes the limitation in new-born target appearance volume. The proposed filter classifies the measurements into survival measurements and birth measurements, and adaptively generates the birth MBer RFS using the birth measurements. The novel filtering equations that distinguish the persistent and new-born targets are derived. A Sequential Monte-Carlo(SMC) implementation of the proposed filter is given. Simulations are performed to verify the improvement in the performance of the proposed filter.

关键词： Random finite set Adaptive multi-Bernoulli filter Sequential Monte-Carlo Multi-target tracking

Multiple hypothesis tracking based on the Shiryayev sequential probability ratio test

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Science China Earth Sciences 2016年第12期59卷 86-96页

作者： Jinbin FU jinping sun Songtao LU Yingjing ZHANG School of Electronic and Information Engineering Beihang University Department of Electrical and Computer Engineering Iowa State University

To date, Wald sequential probability ratio test(WSPRT) has been widely applied to track management of multiple hypothesis tracking(MHT). But in a real situation, if the false alarm spatial density is much larger than the new target spatial density, the original track score will be very close to the deletion threshold of the WSPRT. Consequently, all tracks, including target tracks, may easily be deleted, which means that the tracking performance is sensitive to the tracking environment. Meanwhile, if a target exists for a long time, its track will have a high score, which will make the track survive for a long time even after the target has disappeared. In this paper, to consider the relationship between the hypotheses of the test, we adopt the Shiryayev SPRT(SSPRT) for track management in MHT. By introducing a hypothesis transition probability, the original track score can increase faster, which solves the first problem. In addition, by setting an independent SSPRT for track deletion, the track score can decrease faster, which solves the second problem. The simulation results show that the proposed SSPRT-based MHT can achieve better tracking performance than MHT based on the WSPRT under a high false alarm spatial density.

关键词： multiple target tracking multiple hypothesis tracking Shiryayev sequential probability ratio test track management track score

Multiple walking human recognition based on radar micro-Doppler signatures

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Science China(Information Sciences) 2015年第12期58卷 177-189页

作者： sun ZhongSheng WANG Jun ZHANG YaoTian sun jinping YUAN ChangShun BI YanXian School of Electronic and Information Engineering Beihang University

The recognition of human movements based on radar m-D(micro-Doppler) signatures attracts great interest in the field of radar research on automatic target recognition. Because there are multiple frequency components overlapping seriously in the radar echoes from walking humans, it is a very difficult work to recognize walking humans based on radar echoes. In this paper, a recognition method of walking humans based on radar m-D signatures is proposed. In this method, the m-D spectrum is generated by generalized S transform first,and then the entropy segmentation is used to segment the interesting region from the original spectrum. Next,the m-D features are extracted from the m-D region. Lastly, the support vector machine is used to recognize different walking human targets. The simulation experiments considering two factors of height and velocity are also conducted to test the performance of this proposed method.

关键词： radar micro-Doppler walking human generalized S transform recognition

Object Tracking Algorithm Based on Multi-Time-Space Perception and Instance-Specific Proposals

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Intelligent Automation & Soft Computing 2023年第7期37卷 655-675页

作者： jinping sun Dan Li Honglin Cheng School of Information Engineering(School of Big Data) Xuzhou University of TechnologyXuzhou221018China

Aiming at the problem that a single correlation filter model is sensitive to complex scenes such as background interference and occlusion,a tracking algorithm based on multi-time-space perception and instance-specific proposals is proposed to optimize the mathematical model of the correlation filter(CF).Firstly,according to the consistency of the changes between the object frames and the filter frames,the mask matrix is introduced into the objective function of the filter,so as to extract the spatio-temporal information of the object with background ***,the object function of multi-feature fusion is constructed for the object location,which is optimized by the Lagrange method and solved by closed *** the process of filter optimization,the constraints term of time-space perception is designed to enhance the learning ability of the CF to optimize the final track-ing ***,when the tracking results fluctuate,the boundary suppres-sion factor is introduced into the instance-specific proposals to reduce the risk of model drift *** accuracy and success rate of the proposed algorithm are verified by simulation analysis on two popular benchmarks,the object tracking benchmark 2015(OTB2015)and the temple color 128(TC-128).Extensive experimental results illustrate that the optimized appearance model of the proposed algorithm is *** distance precision rate and overlap success rate of the proposed algorithm are 0.756 and 0.656 on the OTB2015 benchmark,which are better than the results of other competing *** results of this study can solve the problem of real-time object tracking in the real traffic environment and provide a specific reference for the detection of traffic abnormalities.

关键词： Complex scene instance-specific proposals correlation filter multi-time-space perception object tracking