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Distributed cooperative localization for sparse communication network with multi-locating messages

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Journal of Systems Engineering and electronics 2016年第4期27卷 746-753页

作者： Leigang Wang Tao Zhang Department of Automation Tsinghua UniversityBeijing 100084China luoyang electronic equipment test center of China Luoyang 471003China

In cooperative localization with sparse communication networks, an agent maybe only receives part of locating messages from the others. It is difficult for the receiver to utilize the part instead of global knowledge. Under the extended Kalman filtering, the utilization of the locating message is maximized by two aspects： the locating message generating and multi-locating messages fusing. For the former, the covariance upper-bound technique, by introducing amplification coefficients, is employed to remove the dependency of locating messages on the global knowledge. For the latter, an optimization model is setup; the covariance matrix determinant of the receiver＇s state estimate, expressed as a function of the amplification coefficients, is selected as the optimization criterion, under linear constraints on the amplification coefficient characteristics and the communication connectivity. Using the optimization solution, the local optimal state of the receiver agent is obtained by the weighting fusion. Simulation with seven agents is shown to evaluate the effectiveness of the proposed algorithm.

关键词： cooperative localization extended Kalman filtering variance upper-bound communication constraint

Network Design and Implementation of test Guidance Platform 36

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Network Design and Implementation of Test Guidance Platform

Compensation Algorithm Based on Estimation State for Transmission Delay in Cooperative Localization

第36届中国控制会议

作者： Jiangong Wang Hong Liu Xu Zhang Feifei Wang luoyang electronic equipment test center of China

ISBN: (纸本)9781538629185

Aiming at the problem of poor data exchange, data sharing and poor ability of mutual guidance between the test equipment in the current shooting test, the test guidance platform for measuring equipment was designed and realized based on network. By using modular and object-oriented programming technology to develop the platform system, it achieves the real-time sharing of data between the pilot equipment, meets the test requirements of real-time, automatic, timely and rapid guidance equipment, and attains the measurement result which is "find that tracking, tracking that guide".

关键词： test guide platform network control terminal main system equipment terminal partial system

来源： cnki会议评论

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cnki会议

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Transactions of Nanjing University of Aeronautics and Astronautics 2014年第1期31卷 91-98页

作者：王雷钢张涛杨伟锋 Department of Automation Tsinghua University luoyang electronic equipment test center of China

In order to maximize the utilization of the observation information in the cooperative localization,a compensation algorithm based on the estimation state is presented for transmission *** the framework of the Kalman filter,two different processes of state estimating with and without transmission delay are investigated and *** expression of difference quantity caused by transmission delay is *** is used to compensate the present estimation state instead of the observed information *** to the characteristics of state transition matrix,an equivalent expression of which successively impacts on the covariance factor in delay time is *** simulation results show that the present estimated state is effectively corrected by transmission information and the relevance among agents is accurately *** a result,a higher positioning accuracy is ***,the consumption of recording and multiplication of the state transition matrix is saved.

关键词： cooperative localization Kalman filter transmission delay covariance factor

An Accurate and Extensible Machine Learning Classifier for Flow-Level Traffic Classification

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China Communications 2018年第6期15卷 125-138页

作者： Gang Lu Ronghua Guo Ying Zhou Jing Du Chinese luoyang electronic equipment center Luoyang 471003China

Machine Learning(ML) techniques have been widely applied in recent traffic ***, the problems of both discriminator bias and class imbalance decrease the accuracies of ML based traffic classifier. In this paper, we propose an accurate and extensible traffic classifier. Specifically, to address the discriminator bias issue, our classifier is built by making an optimal cascade of binary sub-classifiers, where each binary sub-classifier is trained independently with the discriminators used for identifying application specific traffic. Moreover, to balance a training dataset,we apply SMOTE algorithm in generating artificial training samples for minority *** evaluate our classifier on two datasets collected from different network border *** with the previous multi-class traffic classifiers built in one-time training process,our classifier achieves much higher F-Measure and AUC for each application.

关键词： traffic classification class imbalance dircriminator bias encrypted traffic machine learning

Approximate Iteration Detection and Precoding in Massive MIMO

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China Communications 2018年第5期15卷 183-196页

作者： Chuan Tang Yerong Tao Yancang Chen Cang Liu Luechao Yuan Zuocheng Xing luoyang electronic equipment test center LuoYang 471000China National Laboratory for Parallel and Distributed Processing National University of Defense TechnologyChangsha 410073China

Massive multiple-input multiple-output provides improved energy efficiency and spectral efficiency in 5 G. However it requires large-scale matrix computation with tremendous complexity, especially for data detection and precoding. Recently, many detection and precoding methods were proposed using approximate iteration methods, which meet the demand of precision with low complexity. In this paper, we compare these approximate iteration methods in precision and complexity, and then improve these methods with iteration refinement at the cost of little complexity and no extra hardware resource. By derivation, our proposal is a combination of three approximate iteration methods in essence and provides remarkable precision improvement on desired vectors. The results show that our proposal provides 27%-83% normalized mean-squared error improvement of the detection symbol vector and precoding symbol vector. Moreover, we find the bit-error rate is mainly controlled by soft-input soft-output Viterbi decoding when using approximate iteration methods. Further, only considering the effect on soft-input soft-output Viterbi decoding, the simulation results show that using a rough estimation for the filter matrix of minimum mean square error detection to calculating log-likelihood ratio could provideenough good bit-error rate performance, especially when the ratio of base station antennas number and the users number is not too large.

关键词： massive MIMO detection and precoding matrix inversion iteration refinement soft Viterbi decoding

A Distributed Cooperative Localization Algorithm for Mobile Multi-platforms Oriented to Unpredicted Communication Topology

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Transactions of Nanjing University of Aeronautics and Astronautics 2019年第2期36卷 224-231页

作者： WANG Leigang CUI Jianling KONG Depei ZHAO Linfeng Luo Yang electronic equipment test center of China

The cooperative localization(CL)is affected by the communication topology among the *** on the unscented Kalman filtering,the distributed CL(DCL)oriented to the unpredicted communication topology is *** improve the adaptability,the character of the look-up Cholesky decomposition is exploited for the covariance matrix ***,the distributed U transformation can be dynamically implemented according to the available communication *** the proposed algorithm,the global information is not required for the individual,and only the available information from the neighbor is *** platform’s state can be estimated *** error covariance of the state estimates can be updated in the single *** algorithm is adaptive to any serial communication topologies where the measuring to the measured platform is a starting *** applicability of the proposed algorithm to unpredicted communication topology is improved,remaining equivalent localization performance to free connection communication.

关键词： mobile multi-platforms cooperative localization unscented Kalman filtering communication topology

Alternating Direction Method for Separable Variables Under Pair-Wise Constraints

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Communications in Mathematics and Statistics 2017年第1期5卷 59-82页

作者： Jiaojiao Yang Yusheng Li Xinchang Xie Zhouwang Yang University of Science and Technology of China HefeiChina luoyang electronic equipment test center LuoyangChina Duke University DurhamNCUSA

While the convergence of alternating direction method(ADM)for two sep-arable variables has been established for years,the validity of its direct generalizationto more than two blocks has been studying *** this paper,we propose an additionalrequirement on the constraints,i.e.,the pair-wise linear constraints and establish theconvergence of ADM for more than two *** we apply our approach to twokinds of optimization *** also show several numerical experiments to verifythe rationality of proposed algorithm.

关键词： Alternating direction method Convergence analysis Pair-wise constraints l1-Analysis problem

Stability of weighted spectral distribution in a pseudo tree-like network model

维普期刊数据库评论

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维普期刊数据库

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Chinese Physics B 2016年第5期25卷 479-486页

作者：焦波聂原平黄赪东杜静郭荣华黄飞石建迈 luoyang electronic equipment test center Luoyang 471003China College of Computer National University of Defense TechnologyChangsha 410073China College of Information Systems and Management National University of Defense TechnologyChangsha 410073China

The comparison of networks with different orders strongly depends on the stability analysis of graph features in evolving systems. In this paper, we rigorously investigate the stability of the weighted spectral distribution（i.e., a spectral graph feature） as the network order increases. First, we use deterministic scale-free networks generated by a pseudo treelike model to derive the precise formula of the spectral feature, and then analyze the stability of the spectral feature based on the precise formula. Except for the scale-free feature, the pseudo tree-like model exhibits the hierarchical and small-world structures of complex networks. The stability analysis is useful for the classification of networks with different orders and the similarity analysis of networks that may belong to the same evolving system.

关键词： weighted spectral distribution pseudo tree-like model deterministic network scale-free and small-world network

test Method of Laser Detection Sensitivity Based on Every Pulse Measurement and Rearrangement

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Optics and Photonics Journal 2017年第8期7卷 33-39页

作者： Hao Guo Na Ma Hongpeng Zhao Mei Yao luoyang electronic equipment test center of China Luoyang China

It is very important to accurately measure the detection sensitivity of laser receiving equipment. Based on the traditional test method of detection probability curve, a new test method is proposed which works through measuring laser pulse one by one. Accurate measurement systems were constructed to improve the accuracy of laser energy measurement and energy regulation. A new data processing method of detection probability curve is put forward, which based on subsection statistics. The new data processing method in effect reduces the light source instability from 6.57% to 0.67%. These works improve the test accuracy of laser receiving detection sensitivity. It is a great support for the accurate evaluation of key technical indices of laser receiving equipment, which subsequently are done by models and simulation.

关键词： Laser Detection Sensitivity Instability Pulse Rearrangement