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| 1 | Globally optimal distributed Kalman filtering fusion显示文摘The goal of this paper is to give a survey of the previous works on the globally optimal distributed Kalman filtering fusion with classical and nonclassical dynamic systems. Then, we summarize some of our recent results on nonclassical and unideal dynamic systems, including dynamic systems with feedback and cross-correlated sensor measurement noises, dynamic systems with random parameter matrices, and dynamic systems with out-of-sequence or asynchronous measurements. The global optimality in this paper means that the distributed Kalman filtering fusion is exactly equal to the corresponding centralized optimal Kalman filtering fusion. Therefore, not only all of the proposed fusion algorithms here are distributed, but performance as good as that of the corresponding optimal centralized fusion algorithms is achieved. There also exist many papers for other fusion optimality (e.g., the optimal convex linear estimation/compression fusion) discussion, which are not involved in this paper. | SHEN XiaoJing LUO YingTing ZHU YunMin SONG EnBin | 2012 | Science China(Information Sciences)2012，55，3： | 6 |
| 2 | DISTRIBUTED KALMAN FILTERING FUSION WITH PACKET LOSS OR INTERMITTENT COMMUNICATIONS FROM LOCAL ESTIMATORS TO FUSION CENTER显示文摘当过程噪音确实存在时,这份报纸考虑从本地评估者与被动的包损失或创始的断断续续的通讯过滤熔化到熔化中心的分布式的 Kalman。当本地估计没太多被失去时,就算过程噪音确实存在,作者建议等价于与完全的通讯过滤熔化的相应集中的 Kalman 的一个最佳的分布式的熔化算法。当这个条件没满足时,基于上述全球 optimality 结果和传感器数据压缩,作者建议一个非最优的分布式的熔化算法。就算过程噪音力量相当大,这个非最优的算法仍然比标准更好工作很好并且显著地的数字例子表演散布了过滤熔化题目到包损失的 Kalman。 | Yingting LUO Yunmin ZHU Xiaojing SHEN Enbin SONG | 2012 | Journal of Systems Science & Complexity2012，25，3： | 3 |
| 3 | Optimal centralized update with multiple local out-of-sequence measurements显示文摘 | Shen Xiaojing Zhu Yunmin Song Enbin | 2009 | IEEE Transactions on Signal Processing2009，57，4： | 1 |
| 4 | Minimizing Euclidian State Estimation Error for Linear Uncertain Dynamic Systems Based on Multisensor and Mtdti-Algorithm Fusion 显示文摘 | Shen Xiaojing Zhu Yunmin Song Enbin | 2011 | IEEE Transactions on Information Theory2011，57，10： | 1 |
| 5 | Optimal Centralized Updatewith Mutiple Local Out-of-Sequence-Measurements显示文摘 | Xiaojing Shen Zhu Yunmin Song Enbin | 2009 | IEEE Trans-action on Signal Processing2009，57，4： | 1 |
| 6 | Optimal Kalman filtering fusion with cross-correlated sensor noises 显示文摘 | SONG Enbin ZHU Yunmin ZHOU Jie | 2007 | Automatica2007，8，43： | 1 |
| 7 | Optimal centra- lized update with multiple local out-of-sequence measurement- s显示文摘 | Shen Xiaojing Zhu Yunmin Song Enbin | 2009 | IEEE Transactions on Signal Processing2009，57，4： | 1 |
| 8 | Optimal Centralized Update with Multiple Local Out of-Sequence Measurements显示文摘 | SHEN Xiaojing ZHU Yunmin SONG Enbin | 2009 | IEEE Transaction On Signal Processing2009，57，4： | 1 |
| 9 | Globally Optimal Distributed Kalman Fusion with Local Out-of-Sequnece Measurements Updates显示文摘 | SHEN Xiaojing ZHU Yunmin SONG Enbin | 2009 | IEEE Transaction On Automatic Control2009，5，8： | 1 |
| 10 | Robust hypothesis testing for asymmetric nominal densities under a relative entropy tolerance显示文摘In this paper, we address an open problem raised by Levy(2009) regarding the design of a binary minimax test without the symmetry assumption on the nominal conditional probability densities of observations. In the binary minimax test, the nominal likelihood ratio is a monotonically increasing function and the probability densities of the observations are located in neighborhoods characterized by placing a bound on the relative entropy between the actual and nominal densities. The general minimax testing problem at hand is an infinite-dimensional optimization problem, which is quite difficult to solve. In this paper, we prove that the complicated minimax testing problem can be substantially reduced to solve a nonlinear system of two equations having only two unknown variables, which provides an efficient numerical solution. | Enbin Song Qingjiang Shi Yunmin Zhu Jianxi Pan | 2018 | Science China Mathematics2018，61，10： | 0 |
| 11 | SOME PROGRESS IN SENSOR NETWORK DECISION FUSION显示文摘多传感器网络决定 / 察觉问题自从如此的系统与一个单个传感器在那上提供许多优点以,继续在最近的年里吸引许多研究兴趣例如, survivability,可靠性,和坚韧性。这篇文章调查某以前的进步,简短介绍一些新结果,并且建议质问在传感器网络决定熔化的通讯方向的问题的一些。 | Enbin SONG Yunmin ZHU Jie ZHOU | 2007 | Journal of Systems Science & Complexity2007，20，2： | 0 |
| 12 | Robust trajectory planning for UAV communication systems in the presence of jammers显示文摘Unmanned Aerial Vehicle(UAV)has emerged as a promising novel application for the Sixth-Generation(6G)wireless communication by leveraging more favorable Line-of-Sight(Lo S)propagation.However,the jamming resistance by exploiting UAV’s mobility is a new challenge in the UAV-ground communication.This paper investigates the trajectory planning problem in an UAV communication system,where the UAV is operated by a Ground Control Unit(GCU)to perform certain tasks in the presence of multiple jammers with imperfect power and location information.To ensure the reliability of the GCU-to-UAV link,we formulate the problem as a non-convex semi-infinite optimization,aiming to maximize the average worst-case Signal-toInterference-plus-Noise Ratio(SINR)over a given flight duration by designing the robust trajectory of the UAV under stringent energy availability constraints.To handle this problem efficiently,we develop an iterative algorithm for the solution with the aid of S-procedure and Successive Convex Approximation(SCA)method.Numerous results demonstrate the efficacy of our proposed algorithm and offer some useful design insights to practical system. | Lingyun ZHOU Xiaotong ZHAO Xin GUAN Enbin SONG XIN ZENG Qingjiang SHI | 2022 | Chinese Journal of Aeronautics2022，35，10： | 0 |
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