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徐林峰

工学博士,西北工业大学副教授。2013年毕业于西安交通大学,获"控制科学与工程"专业博士学位,同年进入西北友露工业大学自动化学院从事教学科研工作。主要研究方向为估计与滤波理论,以及目标跟踪、信息融合和(空中、地面)交通管制技术。近年来主持国家自然科学基金2项及航天技术支撑基金、陕西省基础研究计划基金等,参与"973"、"863"、国家自然科学基金等课题若干项。其研究成果发表在IEEE Transactions on Signal Proce蛋概应板ssing (T-SP)、IEEE Transactions on Aerospace and E百独误帮lectronic S来自ystems (T-AES)等行业内国际重要期刊。现为IEEE(及航空航天电子今列回境停系统AES分会)会员,ISIF会员战伯混艺树底,2016、2017年国际信息融合会议技术程序委员会(TPC)成员;是国家自然科学基360百科金函评专家,IEE龙言政清E Transactions on Signal Processing、Aeros认核盐粉终值沙pace and Electronic Systems、Control System Technology,Auto激宽济matica,Information Fusion, Journal of the Franklin In住很上斯溶联据阻stitute,自动化学报等行业内重要期刊审稿人,和国际信息融合会议(FUSION)审稿人;2014年至今担任陕西省自动化学会青年工作委员会秘书长 。

  • 中文名称 徐林峰
  • 国籍 中国
  • 出生地 安徽桐城
  • 职业 博士
  • 毕业院校 西安交通大学

教育背景

  博士,来自控制科学与工程,西安交通大学,2013年6月

  硕士,机械电子工程,西北工业大学,2005年5月

  学士,机小图断斤械工程及自动化,西北工业大学,2002年7月

研究兴趣

  1、估计与滤波理帝某和劳论:

  混态估计的压试期胶不之真势管料倒理论与应用,含约束系统的建模与估计,统计信号处理,最优估计理论,非线性滤波方法

  2、目标跟踪与信息融包病策述难作我校飞紧合:

  扩展目标模型,地面运动目标,联合跟踪与检测,分布式估计融合

近三年代表性成果

  【期刊论文】

  来自[J10]. Linfe360百科ng Xu, X. Rong Li, Yan Liang, and Z九问hansheng Duan. "C盐翻跑盐onstrained dynamic systems: Generalized modeling and state estimation." IEEE Transactions on Aeros皇蒸滑意顺民领女原时pace and Electro抗备究升字滑关书文跳五nic Systems (T-AES), 2017. DOI: 10.1109/TAES.2017.2705518 (Top期刊)

 确和息整 [J9]. Linfeng Xu, X. Rong Li, and Zhansheng Duan. "Hybrid grid multiple-model estimation with application to man买石永程满称样euvering target tracking." IEEE Transactions on Aerosp强宜稳雷ace and Electronic Syste德都及ms (T-AES), vol. 52, no. 1, pp. 122–136, Feb. 2016. (Top期刊角水)

  [J8]. Linfen苗雨科心g Xu, X. Rong Li, Zhansheng Duan, and Jian Lan. "Modeling and state estimation for dynamic systems with linear equality constraints." IEEE 烈装皇Transactions on Signal Processing (T-SP), vol. 61, no. 11, pp.2927-2939, Jun. 品本2013. (Top期刊)

  [J7]. Yanting Yang, Yan Liang, Linfeng Xu, et.al. "Robust interval-constrained filter." IET Control Theory and Applications, vol. 11, no. 7, pp王齐第指角挥革. 908–914, Apr. 2017..

  [J6]. Hang Geng, Ya巴杆穿和关口n Liang, Linfeng Xu, et.al. "Fault detection for multi-rate sensor fusion under multiple uncertainties." IET Control Theory and Applications, vol. 9, no洋黑是货息对赶前史翻. 11, pp. 1709-1716, 201任识唱认础旧策5.

  [J5]. Hang Geng, Yan Liang, Feng Yan打验向站认装沉的底聚烟g, Linfeng Xu, and Quan Pan, "Model-reduced fault detection for multi-rate sensor fusion with unknown inputs," Information Fusion, vol. 33, pp. 1–14, 2017.

  [J4]. Hang Geng, Yan Liang, Feng Yang, Linfeng Xu, and Quan Pan, "The joint optimal filtering and fault detection for multi-rate sensor fusion under unknown inputs," Information Fusion, vol. 29, pp. 57–67, 2016.

  [J3]. Jie Zhou, Yan Liang, Feng Yang, Linfeng Xu, and Quan Pan, "Multi-sensor consensus estimation of state, sensor biases and unknown input," Sensors, vol. 16, no. 9, p. 1407, 2016.

  [J2]. Hang Geng, Yan Liang, Feng Yang, Linfeng Xu, et.al, "Joint estimation of target state and ionospheric height bias in over-thehorizon radar target tracking," IET Radar, Sonar & Navigation, vol. 10, no. 7, pp. 1153–1167, 2016.

  [J1]. Li Wang, Yan Liang, Feng Yang, Linfeng Xu, "Gaussian sum filter of markov jump non-linear systems," IET Signal Processing, vol. 9, no. 4, pp. 335–340, 2015.

  【会议论文】

  [C4]. Linfeng Xu , Yan Liang , Quan Pan, et.al, "A kinematic model of route-based target tracking: Direct discrete-time form," in Proceedings of 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany, July 7-10 2016, pp. 225–231.

  [C3]. Linfeng Xu, Yan Liang, and Feng Yang, "Dynamic modeling for route-based motions." in Proceedings of 8th International Conference on Wireless Communications and Signal Processing, Yang Zhou, China, Oct 10-13 2016.

  [C2]. Linfeng Xu, X. Rong Li, Yan Liang, and Zhansheng Duan. "An effective modeling framework for equality-constrained dynamic systems." In Proceedings of 18th International Conference on Information Fusion (FUSION), Washington, USA, pp. 1868-1875, Jul. 2015.

  [C1]. Linfeng Xu, Quan Pan, Yan Liang, and Feng Yang. "Linearly constrained estimation via state space decomposition." In Proceedings of 17th International Conference on Information Fusion (FUSION), Salamanca, Spain, 8 pages, Jul. 2014.

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