基本信息

姓名:兰 剑    邮箱: lanjian@mail.xjtu.edu.cn
工作经历:    
2022 - 至今 常务副主任 西安交通大学  国家储能平台
2021 - 至今 副院长 西安交通大学  未来技术学院  现代产业学院
2018 - 至今 副处长 西安交通大学  教务处
2017 - 至今  教授,  博导  西安交通大学  电信学部自动化学院
2013 - 2016         副教授,  博导 西安交通大学  电信学部自动化学院
2010 - 2012 讲师,  硕导 西安交通大学  电信学部自动化学院
学习经历:    
2004 - 2010 工学博士 清华大学 自动化系
2008 - 2009 国家公派留学  美国新奥尔良大学 电子工程系
2000 - 2004  工学学士 国防科技大学 机电工程与自动化学院

照片

荣誉称号 / 学术兼职 / 社会兼职

 国家级青年人才

- 2020年

 中国自动化学会自然科学奖一等奖 (第1)

- 2022年度

 陕西青年科技奖

- 2023

 陕西省杰出青年基金

- 2019

 华为公司“火花奖”

- 2024年,“基站感知 轻微无人机和飞鸟的高识别率目标识别技术”

 西安交通大学"青年拔尖人才" (A类)

- 2019

 陕西省高校首批"青年杰出人才"

- 2017

 IEEE Senior Member (IEEE高级会员)

 陕西省青联委员,  2016 - 至今

 教指委委员

- 陕西省自动化类专业教指委  秘书长、委员

 学会委员

中国自动化学会  高级会员

中国航空学会信息融合分会专委会  主任、委员

中国高教学会工程教育专委会  常务理事

陕西省自动化学会青年委员会  委员

 评审人

- 国家自然科学基金

 

 学术会议任职

- 程序委员会副主席

    第9届中国信息融合大会(2019

组委会副主席   

    2018中国自动化大会(2018 

宣传与出版主席、分会场主席   

    20届国际信息融合大会(2017

组委会副主席、分会场主席  

    8届中国信息融合大会(2017

 审稿人

IEEE Transactions on Signal Processing

IEEE Transactions on Aerospace and Electronic Systems

IEEE Transactions on Automatic Control

- Automatica

Journal of Advances in Information Fusion

International Conference on Information Fusion (FUSION)

自动化学报

航空学报

- Information Fusion

教学

主讲:《导航与制导原理》, 本科三年级

科研活动

2018

联合举办“2018无人车定位与跟踪关键技术研讨会”,北京

参加国际信息融合大会,英国,剑桥

2017

参加国际信息融合大会,西安(交大承办)

2016

参加国际信息融合大会,德国,海德堡

2015

参加国际信息融合大会,美国,华盛顿

2014

参加国际信息融合大会,西班牙,萨拉曼卡

2013

参加国际信息融合大会,土耳其,伊斯坦布尔

参加国际信息融合研讨会,西安(交大主办)

参加中国信息融合大会,深圳

2012

参加国际信息融合大会,新加坡

参加中国信息融合大会,武汉

2011

参加国际信息融合大会,美国,芝加哥

参加国际信息融合研讨会,西安(交大主办)

科学研究

研究领域信息融合理论与技术,包括非线性估计与滤波、多源异构数据关联与融合、机动目标 / 多目标 / 扩展目标检测识别与跟踪、目标定位、导航与制导、真值未知性能评估等。

   

应用领域雷达 / 声呐 / 图像目标(飞机 / 舰船 / 车辆 / 行人)跟踪与识别、空中 / 地面智能交通系统、自主驾驶系统、车载 / 舰载 / 机载 / 手持卫星 / 惯性导航系统、多传感器数据融合系统、智能穿戴设备、复杂系统故障诊断 / 隔离 / 补偿及性能评估等。

   

学术任职

 IEEE Transactions on Aerospace and Electronic Systems (TAES) (Associate Editor, 2016 - present)

  (IEEE航空航天与电子系统汇刊,副编,2016年 - 至今)

《系统工程与电子技术》期刊 (编委)
 

学术专著:

 兰剑《多源信息目标定位与跟踪》(国家出版基金项目、“十四五”国家重点出版物出版规划项目,信息融合技术丛书,2024年3月出版,简介链接

 
主持的科研项目:
1. 国家自然科学基金重点,2024~2027),名称:干扰环境下临近空间飞行器多源异构数据融合海上目标检测与精细化识别理论
2. 基础加强计划(173)重点项目课题(2022~2025),名称:目标XXXX方法
3. 基础加强计划(173)重点项目课题(2022~2025),名称:多XXXX技术
4. KJ装备“十四五”专用技术预研项目(2022~2025),名称:目标XXXX技术
5. 国家自然科学基金面上,2023~2026),名称:目标跟踪非线性滤波多转换估计理论与方法研究
6. GF基础科研项目课题(2022~2025),名称:超XXXX技术
7. 国家自然科学基金重点,2019~2022),名称:基于海洋观测网的水下目标监测理论与关键技术研究

8. 陕西省杰出青年基金(2020~2022),名称:信息融合混杂系统一体化推断

9. 国家自然科学基金面上,2016~2019),名称:基于最优扩维法的现代目标跟踪系统非线性估计问题研究

10. 国家自然科学基金青年,2013~2015),名称:基于随机矩阵的机动不规则扩展目标建模及估计研究

11. “十三五”装备预研共用技术项目(2019~2020),名称:XX技术研究

12. 国家安全重大基础研究计划(GF973)专题(2015~2017),名称:XX机理研究

13. 华为公司项目(2022~2023),名称:交通场景全天候目标跟踪技术研究

14. 华为公司项目(2020~2021),名称:密集场景群目标跟踪研究

15. 航天四院四部项目(2020~2021),名称:多运动体协同探测跟踪任务分配技术研究

16. 中国空空导弹研究院项目(2021~2023),名称:抗XX研究

17. 中国空空导弹研究院项目(2019~2020),名称:XX目标跟踪研究

18. 中电科西北集团公司项目(2018~2020),名称:多源多视角传感器融合技术研究

19. 宇航动力学国重项目(2018~2020),名称:XX联合分类与跟踪研究

20. 陆军XX基地项目(2017~2018),名称:XX系统性能评估技术

21. 总装预研基金(2015~2017),名称:XX惯导研究

22. 航空科学基金(2011~2014),名称:XX导航技术研究
23. 教育部博士点基金(2011~2013),名称:机动扩展目标状态及形态估计研究

 
发表论文:

  • 代表性论文:

[1]   Jian Lan, “Generalized Conversion Based Nonlinear Filtering Using Deterministic Sampling for Target Tracking,” IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(5): 7295-7307. (Link: GCF) (Code: GCF_Code)

提出广义转换滤波器 (GCF), 统一了卡尔曼类和基于量测转换的非线性滤波器, 获得了最优转换的维数和采样, 具有最优性解析形式, 性能优于卡尔曼类(EKF/UKF/QKF等)和基于转换的滤波器 (UCF/OUCF/OCF), 论文提供开源代码

[2]   Jian Lan, “Extended Object Tracking Using Random Matrix with Extension-Dependent Measurement Numbers,” IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(4): 4464-4477. (Link: EOTn)

提出利用形态和量测个数耦合性的扩展目标跟踪随机矩阵方法 (EOTn), 可直接用量测数结合量测值估计形态, 解析形式, 计算量小, 大幅提高了现有扩展目标跟踪随机矩阵法性能

[3]   Jian Lan, X. Rong Li, “Nonlinear Estimation Based on Conversion-Sample Optimization,” Automatica, 2020, 109160: 1-13. (Link: OCF)

提出非线性估计/滤波框架最优转换采样滤波器 (OCF), 通过最优量测变换扩维获得高精度估计, 具有通用性, 解析形式, 计算量小, 性能优于粒子滤波器 (PF) (纯方位角跟踪)

[4]   Jian Lan, X. Rong Li, “Extended Object or Group Target Tracking Using Random Matrix with Nonlinear Measurements,” IEEE Transactions on Signal Processing, 2019, 67(19): 5130-5142. (Link: EOT_NON)

提出量测非线性条件下的扩展目标跟踪 (EOT) 随机矩阵方法, 包括匹配线性化 (ML) 方法变分贝叶斯 (VB) 估计器, 解析形式, 计算量小, 估计精度高

[5]   Jian Lan, X. Rong Li, “Multiple Conversions of Measurements for Nonlinear Estimation,” IEEE Transactions on Signal Processing, 2017, 65(18): 4956-4970. (Link: MCA)

提出非线性估计框架多量测转换法 (MCA), 可按估计性能并行有效利用多个非线性滤波器,包括EKF/UKF/UCF, 达到全局高精度估计

[6]   Jian Lan, X. Rong Li, “Tracking of Extended Object or Target Group Using Random Matrix: New Model and Approach,” IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(6): 2973-2989. (Link: EOT)

提出简洁而高效的扩展目标跟踪 (EOT) 模型和算法, 计算量小, 估计精度高

[7]   Jian Lan, X. Rong Li, Nonlinear Estimation by LMMSE-Based Estimation with Optimized Uncorrelated Augmentation, IEEE Transactions on Signal Processing, 2015, 63(16): 4270-4283. (Link: UCF)

提出强大而灵活的非线性估计/滤波框架不相关转换滤波器 (UCF), 结构简单, 计算量小, 理论证明其性能优于流行的非线性滤波器,包括EKF/UKF/QKF

[8]   Jian Lan, X. Rong Li, Tracking of Maneuvering Non-Ellipsoidal Extended Object or Target Group Using Random Matrix,IEEE Transactions on Signal Processing, 2014, 62(9): 2450-2463. (Link: NEOT)

提出一种非椭形扩展目标跟踪 (NEOT) 方法, 用随机矩阵方法解决非椭形目标跟踪问题

[9]   Jian Lan, X. Rong Li, Equivalent-Model Augmentation for Variable-Structure Multiple-Model Estimation,IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(4): 2615-2630. (Link: EqMA)

提出等价模型扩展 (EqMA) 变结构多模型估计理论方法, 适用于真实模式未知的估计问题

[10]  Jian Lan, X. Rong Li, Vesselin P. Jilkov, Chundi Mu, Second-Order Markov Chain Based Multiple-Model Algorithms for Maneuvering Target Tracking,IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(1): 3-19. (Link: SIMM)

提出基于二阶马尔科夫链的多模型估计 (SIMM) 理论方法, 可精确描述和跟踪动态复杂的机动目标

[11]  Jian Lan, X. Rong Li, Chundi Mu, Best-Model Augmentation for Variable-Structure Multiple-Model Estimation,IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(3): 2008-2025. (Link: BMA)

提出最优模型扩展 (BMA) 变结构多模型估计理论方法, 通用于结构不同模型集的增加、删除和扩充

  • 所有论文:

- 2023present

[1]  Jian Lan, “Generalized Conversion Based Nonlinear Filtering Using Deterministic Sampling for Target Tracking,” IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(5): 7295-7307.

[2]  Jian Lan, “Extended Object Tracking Using Random Matrix with Extension-Dependent Measurement Numbers,” IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(4): 4464-4477.

[3]  Ruiqing Xi, Jian Lan*, “Nonlinear Estimation Using Multiple Conversions with Optimized Extension for Target Tracking,” IEEE Transactions on Signal Processing, 2023, 71: 4457-4470.

[4]  Xiaoxiao Zhang, Jian Lan*, “Measurement Combination Estimator for Multi-Sensor Extended Object Tracking Using Random Matrix,” IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(1): 698-715.

[5]  Xiaomeng Cao, Jian Lan*, Yushuang Liu, Boyi Tan, “Tracking of Rectangular Object Using Key Points with Regionally Concentrated Measurements,” IEEE Transactions on Intelligent Transportation Systems, 2023, PP:1-16.

[6]  Mingkai Li, Jian Lan, X. Rong Li, “Tracking of Elliptical Object with Unknown but Fixed Lengths of Axes,” IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(5): 6518-6533.

[7]  Linyao Zheng, Meiqin Liu, Senlin Zhang, Jian Lan, “A Novel Sensor Scheduling Algorithm Based on Deep Reinforcement Learning for Bearing-Only Target Tracking in UWSNs,” IEEE/CAA Journal of Automatica Sinica, 2023, 10(4): 1077-1079.

[8]  Yan Li, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Jian Lan, Shanling Dong, “Sparse Feature Points Extraction-Based Localization with Partial Information Loss in UWSNs,” IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-13

[9]  Ruiqing Xi, Jian Lan, Xiaomeng Cao, “Space Object Tracking Using Orbit Element Constraints with Uncertainties,” In Proceedings of 2023 IEEE International Conference on Unmanned Systems, October 2023: 1124-1129.

- 2022

[10] Qin Li, Jian Lan*, Le Zhang, Badong Chen, Kaijian Zhu, “Augmented Nonlinear Least Squares Estimation with Applications to Localization,” IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(2): 1042-1054.

[11] Xiaomeng Cao, Jian Lan, X. Rong Li, Yu Liu, “Automotive Radar-Based Vehicle Tracking Using Data-Region Association,” IEEE Transactions on Intelligent Transportation Systems, 2022, 23(7), 8997-9010.

[12] Leilei Guo, Jian Lan, X. Rong Li , "Multiple-Model Approach to Over-the-Horizon Radar Tracking Based on Target Perceivability,” IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(1): 108-123.

[13] Yan Li, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Jian Lan, Shanling Dong, “Particle System-Based Ordinary Nodes Localization with Delay Compensation in UWSNs,” IEEE Sensors Journal, 2022, 22(7): 7157-7168.

-  2021

[14] Le Zhang, Jian Lan*, “Tracking of Extended Object Using Random Matrix With Non-Uniformly Distributed Measurements,” IEEE Transactions on Signal Processing, 2021, 69: 3812-3825.

[15] Guanghua Zhang, Jian Lan*, Le Zhang, Fengshou He, Shaomin Li, “Filtering in Pairwise Markov Model With Student's t Non-Stationary Noise With Application to Target Tracking,” IEEE Transactions on Signal Processing, 2021, 69: 1627-1641.

[16] Yingjie Zhang, Jian Lan*, Mahendra Mallick, X. Rong Li, “Bearings-Only Filtering Using Uncorrelated Conversion Based Filters,” IEEE Transactions on Aerospace and Electronic Systems, 2021, 57(2): 882-896.

[17] Wen Cao, Jian Lan*, Qisheng Wu, “Joint Tracking and Identification Based on Constrained Joint Decision and Estimation,” IEEE Transactions on Intelligent Transportation Systems, 2021, 22(10): 6489-6502.

[18] Xiaomeng Cao, Jian Lan, X. Rong Li, “Extension-Deformation Approach to Extended Object Tracking,” IEEE Transactions on Aerospace and Electronic Systems, 2021, 57(2): 866-881.

[19] Le Zhang, Jian Lan, X. Rong Li, “Performance Evaluation of Joint Tracking and Classification,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(2): 1149-1163.

[20] Xueyan Han, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Jian Lan, “A Passive DOA Estimation Algorithm of Underwater Multipath Signals Via Spatial Time-Frequency Distributions,” IEEE Transactions on Vehicular Technology, 2021, 70(4): 3439-3455.

[21] Yan Li, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Jian Lan, “Node Dynamic Localization and Prediction Algorithm for Internet of Underwater Things,” IEEE Internet of Things Journal, 2021, 9(7): 5380-5390.

- 2020

[22] Jian Lan, X. Rong Li, “Nonlinear Estimation Based on Conversion-Sample Optimization,” Automatica, 2020, 109160:1-13.

[23] Le Zhang, Jian Lan*, “Extended Object Tracking Using Random Matrix with Skewness,” IEEE Transactions on Signal Processing, 2020, 68: 5107-5121.

[24] 兰剑, Li Xiao-Rong, 张英杰, 李琴, 郗瑞卿. “信息融合估计与决策综述——非线性滤波,” 信息融合学报, 2020: 1-16.

[25] Xiaoxiao Guo, Jian Lan, “Line-of-Sight Rate Estimation for Barrel-Roll Maneuvering Target Tracking,” In Proceedings of the 23th International Conference on Information Fusion, July 2020: 359-366.

[26] Mingkai Li, Jian Lan, X. Rong Li, Tracking of Elliptical Extended Object with Unknown but Fixed Lengths of Axes,” In Proceedings of the 23th International Conference on Information Fusion, July 2020: 599-606.

-  2019

[27] Jian Lan, X. Rong Li, “Extended Object or Group Target Tracking Using Random Matrix with Nonlinear Measurements”, IEEE Transactions on Signal Processing, 2019, 67(19): 5130 - 5142.

[28] Le Zhang, Jian Lan, X. Rong Li, “Normal-Gamma IMM Filter for Linear Systems with Non-Gaussian Measurement Noise,” in Proceedings of the 22th International Conference on Information Fusion, July 2019.

[29] Leilei Guo, Jian Lan, X. Rong. Li, “Track Initiation Using Multipath Measurements with Reflecting Point Uncertainties,” in Proceedings of the 22th International Conference on Information Fusion, July 2019.

- 2018

[30] Lifan Sun, Jian Lan*, X. Rong Li, “Joint Tracking and Classification of Extended Object Based on Support Functions,” IET Radar, Sonar & Navigation, 2018, 12(7): 685-693.

[31] Wen Cao, Jian Lan, X. Rong Li, “Extended Object Tracking and Classification Using Radar and ESM Sensor Data,” IEEE Signal Processing Letters, 2018, 25(1): 90-94.

[32] Hanlin Yin, X. Rong Li, Jian Lan, “Pairwise Comparison Based Ranking Vector Approach to Estimation Performance Ranking,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 48 (6), 942-953.

[33] Xiaomeng Cao, Jian Lan, X. Rong Li, “Extended Object Tracking Using Automotive Radar, in Proceedings of the 21th International Conference on Information Fusion, July 2018: 1750-1757.

[34] Leilei Guo, Jian Lan, X. Rong Li, “Multitarget Tracking Using Over-the-Horizon Radar, In Proceedings of the 21th International Conference on Information Fusion, July 2018: 24-31.

[35] Qingqiang Ji, Jian Lan, X. Rong Li, “Joint Tracking for Capturing and Classification Based on Joint Decision and Estimation, In Proceedings of the 21th International Conference on Information Fusion, July 2018: 2125-2132.

[36] Le Zhang, Jian Lan, X. Rong Li, “A Normal-Gamma Filter for Linear Systems with Heavy-Tailed Measurement Noise”, In Proceedings of the 21th International Conference on Information Fusion, July 2018: 2552-2559.

- 2017

[37] Jian Lan, X. Rong Li, “Multiple Conversions of Measurements for Nonlinear Estimation”, IEEE Transactions on Signal Processing, 2017, 65(18): 4956-4970.

[38] Lifan Sun, Baofeng Ji, Jian Lan, Zishu He, Jiexin Pu, “Tracking of Maneuvering Complex Extended Object with Coupled Motion Kinematics and Extension Dynamics Using Range Extent Measurements,” Sensors, 2017, 17 (10), 2184.

[39] Le Zhang, Jian Lan, X. Rong Li, “Track-Oriented Evaluation of Multi-Target Tracking Without Knowing Ground Truth”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[40] Xiaomeng Cao, Jian Lan, X. Rong Li, Extended Object Tracking Using Control-Points-Based Extension Deformation”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[41] Qingqiang Ji, Jian Lan, X. Rong Li, “Nested Joint Fault Detection, Identification, Estimation, and State Estimation”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[41] Yingjie Zhang, Jian Lan, Gaussian Sum Filtering Using Uncorrelated Conversion for Nonlinear Estimation”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[42] Ruiqing Xi, Jian Lan, Joint Transfer Alignment and Fault Diagnosis of Inertial Navigation Network”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[43] Leilei Guo, Jian Lan, X. Rong Li, “Multiple Model Approach to Over-the-Horizon Radar Tracking”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[45] Haoyuan Sun, Jian Lan, X. Rong Li, “Kernel Based Filter for Nonlinear Estimation”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

- 2016

[46] Jian Lan, X. Rong Li, “Tracking of Extended Object or Target Group Using Random Matrix: New Model and Approach,” IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(6): 2973-2989.

[47] Bao Liu, Jian Lan, X. Rong Li, “A 2-SPRT Based Approach to Multiple-Model Hypothesis Testing for Multi-Distribution Detection”, IEEE Transactions on Signal Processing, 2016, 64(12): 3221-3236.

[48] Wen Cao, Jian Lan, X. Rong Li, “Conditional Joint Decision and Estimation with Application to Joint Tracking and Classification,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 46(4): 459-471.

[49] Jian Lan, X. Rong Li, “'Extended Object or Group Target Tracking Using Random Matrix with Nonlinear Measurements”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

[50] Le Zhang, Jian Lan, X. Rong Li, “Performance Evaluation of Multi-Target Tracking Without Knowing Ground Truth”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

[51] Le Zhang, Jian Lan, X. Rong Li, A Fused Measure for Ranking and Evaluation Using Multiple Performance Metrics”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

[52] Qingqiang Ji, Jian Lan, X. Rong Li, “Joint Fault Detection, Identification, and State Estimation Based on Conditional Joint Decision and Estimation”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

[53] Xiaomeng Cao, Jian Lan, X. Rong Li, Extension-Deformation Approach to Extended Object Tracking”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

- 2015

[54] Jian Lan, X. Rong Li, Nonlinear Estimation by LMMSE-Based Estimation with Optimized Uncorrelated Augmentation, IEEE Transactions on Signal Processing, 2015, 63(16): 4270-4283.

[55] Hanlin Yin, X. Rong Li, Jian Lan, “Iterative Mid-Range with Application to Estimation Performance Evaluation,” IEEE Signal Processing Letters, 2015, 22(11): 2044-2048.

[56] Bao Liu, Jian Lan, X. Rong Li, Multiple-Model Hypothesis Testing Based on 2-SPRT,” In Proceedings of the American Control Conference, ACC 2015, Chicago, IL, USA, July 2015: 183-188.

[57] Bao Liu, Jian Lan, X. Rong Li, Multiple-Model Hypothesis Testing Using Adaptive Representative Model,” In Proceedings of the 18th International Conference on Information Fusion, Washington. DC, USA, July 2015: 1609-1616.

[58] Le Zhang, Jian Lan, X. Rong Li, A Method for Evaluating Performance of Joint Tracking and Classification,” In Proceedings of the 18th International Conference on Information Fusion, Washington. DC, USA, July 2015: 499-506.

[59] Wen Cao, Jian Lan, X. Rong Li, Joint Tracking and Classification Based on Conditional Joint Decision and Estimation,” In Proceedings of the 18th International Conference on Information Fusion, Washington. DC, USA, July 2015: 1764-1771.

[60] Wen Cao, Jian Lan, X. Rong Li, Joint Multi-Target Detection and Tracking Using Conditional Joint Decision and Estimation with OSPA-alike Cost,” In Proceedings of the 18th International Conference on Information Fusion, Washington. DC, USA, July 2015: 1740-1747.

- 2014

[61] Jian Lan, X. Rong Li, Tracking of Maneuvering Non-Ellipsoidal Extended Object or Target Group Using Random Matrix,IEEE Transactions on Signal Processing, 2014, 62(9): 2450-2463.

[62] Lifan Sun, X. Rong Li, Jian Lan, “Modeling of Extended Objects Based on Support Functions and Extended Gaussian Images for Target Tracking,” IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(4): 3021-3035.

[63] Jian Lan, X. Rong Li, Joint Tracking and Classification of Non-Ellipsoidal Extended Object Using Random Matrix, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014: 1-8.

[64] Jian Lan, X. Rong Li, Nonlinear Estimation by Linear Estimation with Augmentation of Uncorrelated Conversion, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014: 1-8.

[65] Zhanping Yan, Jian Lan, Yachong Zhang, Hybrid-System-based Multiple-Model Approach for Transfer Alignment with Dynamic Flexure in IIN,” In Proceedings of IEEE International Conference on Multisensor Fusion and Information Integration for Intelligent System, Beijing, China, Sept. 2014: 1-8.

[66] Hanlin Yin, Jian Lan, X. Rong Li, Ranking Estimation Performance By Estimator Randomization and Attribute Support, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014: 1-8.

[67] Lifan Sun, Jian Lan, X. Rong Li, Modeling and Tracking of Complex Extended Object Using Minkowski Addition, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014.

[68] Lifan Sun, Jian Lan, X. Rong Li, Joint Tracking and Classification of Extended Object Based on Support Functions, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014.

[69] Wen Cao, Jian Lan, X. Rong Li, Joint Tracking and Classification based on Joint Decision and Estimation using Multi-Sensor Data, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014.

- 2013

[70] Jian Lan, X. Rong Li, Equivalent-Model Augmentation for Variable-Structure Multiple-Model Estimation,IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(4): 2615-2630.

[71] Jian Lan, X. Rong Li, Vesselin P. Jilkov, Chundi Mu, Second-Order Markov Chain Based Multiple-Model Algorithms for Maneuvering Target Tracking,IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(1): 3-19.

[72] Linfeng Xu, X. Rong Li, Zhansheng Duan, Jian Lan, "Modeling and State Estimation for Dynamic Systems with Linear Equality Constraints," IEEE Transactions on Signal Processing, 2013, 61(11): 2927-2939.

[73] Jian Lan, X. Rong Li, Joint Tracking and Classification of Extended Objects Using Random Matrix, In Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013: 1550-1557.

[74] Wen Cao, Jian Lan, X. Rong Li, Extended Object Tracking and Classification based on Recursive Joint Decision and Estimation, In Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013: 1670-1677.

[75] Hanlin Yin, Jian Lan, X. Rong Li, Measures for Ranking Estimation Performance Based on Single or Multiple Performance Metrics, In Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013: 453-460.

[76] Lifan Sun, X. Rong Li, Jian Lan, “Extended Object Tracking Based on Support Functions and Extended Gaussian Images,” In Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013: 1526-1533.

- 2012 & before

[77] Jian Lan, X. Rong Li, Chundi Mu, Best-Model Augmentation for Variable-Structure Multiple-Model Estimation,IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(3): 2008-2025.

[78] Jian Lan, X. Rong Li, Tracking of Extended Object or Target Group Using Random Matrix-Part I: New Model and Approach”, In Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012: 2177-2184.

[79] Jian Lan, X. Rong Li, Tracking of Extended Object or Target Group Using Random Matrix-Part II: Irregular Object”, In Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012: 2185-2192.

[80] Zhi-Juan Liu, Qing Li, Xian-Hui Liu, Jian Lan, Chun-Di Mu, "An Expected-Mode Augmentation-Based Approach for Multiple-Fault Detection and Diagnosis in Flight Control Systems," Proceedings of the Institution of Mechanical Engineers - Part G: Journal of Aerospace Engineering, 2012, 226(G10): 1202~1213.

[81] Jian Lan, X. Rong Li, State Estimation with Nonlinear Inequality Constraints based on Unscented Transformation”, In Proceedings of the 14th International Conference on Information Fusion, Chicago, USA, July 2011: 1-8.

[82] Jian Lan, Chundi Mu, Input-Adaptive Models Based Multiple-Model Algorithm for Maneuvering Target Tracking, Chinese Journal of Electronics, 2009, 18(1): 84-88.

[83] Hanlin Yin, Jian Lan, X. Rong Li, New Robust Metrics of Central Tendency for Estimation Performance Evaluation”, In Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012: 2020-2027.

[84] Lifan Sun, Jian Lan, X. Rong Li, “Extended Target Tracking Using Star-Convex Model with Nonlinear Inequality Constraints”, In Proceedings of the 31th Chinese Control Conference, Hefei, China, 2012: 3869-3874.

[85] Yanhui Mao, X Rong Li, Zhansheng Duan, Jian Lan, Unbiased Measurement Model Conversion for Tracking with Multiple Radars or Sonars, In Proceedings of the 31th Chinese Control Conference, Hefei, China, 2012: 897-903.

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