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师资队伍
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师资队伍
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电子邮件

zhanglw@bjtu.edu.cn

通讯地址

电子信息工程学院

邮编

100044

教育背景

2005–2010  北京交通大学  直博

2001–2005  北京交通大学  本科



工作经历

2010-至今  北京交通大学 电子信息工程学院  助教 讲师 副教授

2016.2-2017.2 美国纽约大学  访问学者

研究方向
  • 宽带移动通信系统与专用移动通信
  • 通信工程
  • 人工智能
招生专业
  • 信息与通信工程硕士
  • 通信工程(含宽带网络、移动通信等)硕士
  • 人工智能硕士
科研项目

     卫星通信模拟系统孪生模型设计及学习训练 2025 主持

     国家重点研发计划项目:面向全息通信的多模态网络关键技术研究 2023-2026 参加

国家自然科学基金面上项目:多用户大规模多天线系统无线信道测量与衰落相关性研究 2016-2018 参加

国家自然科学基金面上项目:基于时频随机散射理论的高铁宽带无线信道建模研究 2014-2016 参加

国家“863”计划项目:车路协同系统设计、信息交互和集成验证——车路协同系统安全通信技术研究 2012-2013  参加

国家自然科学基金青年项目:异构无线网络中位置信息获取方法研究 2012-2014    主持

国家科技重大专项:新一代宽带无线,移动通信网:IMT-Advanced无线链路干扰模型研究及同步算法评估仿真 2010-2013  参加

 


教学工作

《通信信号处理英文》研究生

《人工智能基础》本科

《通信原理英文》本科

《移动通信系统研究性专题》  本科

《宽带无线通信理论》 研究生

论文/期刊

[1]    叶睿馨, 张令文, 陈佳, . 联合目标检测与深度信息的动态特征点去除方法[J]. 全球定位系统, 2024, 49(3): 94-100.

[2]    L. Zhang, H. Zhao, J. Chen, L. Li and X. Liu, "Vehicular Positioning Based on GPS/IMU Data Fusion Aided by V2X Networks," in IEEE Sensors Journal, vol. 24, no. 6, pp. 9032-9043, 15 March15, 2024.

[3]    Q. Li, L. Zhang and X. Wang, "Loosely Coupled GNSS/INS Integration Based on Factor Graph and Aided by ARIMA Model," in IEEE Sensors Journal, vol. 21, no. 21, pp. 24379-24387, 1 Nov.1, 2021.

[4]    Tan T , Zhang L , Li Q M . An Efficient Fingerprint Database Construction Approach Based on Matrix Completion for Indoor Localization[J]. IEEE Access, vol. 8, pp:130708 – 130718, 2020.

[5]    Zhang L, Wu S, Guo A, et al. A Novel Direction-of-Arrival Estimation via Phase Retrieval with Unknown Sensor Gain-and-Phase Errors[J]. Sensors, 19(12): 2701-2714, 2019.

[6]    Zhang L, Tan T, Gong Y, et al. Fingerprint Database Reconstruction Based on Robust PCA for Indoor Localization[J]. Sensors, 19(11): 2537-2557, 2019.

[7]    L. Zhang, S. L. Wu, et al “Improved Eigenstructure-based 2D DOA Estimation Approaches Based on Nyström Approximation” China Communications, vol. 16, no.1, pp:139-147, 2019.

[8]    L. Zhang, N. Xiao, et al “Advanced Heterogeneous Feature Fusion Machine Learning Models and Algorithms for Improving Indoor Localization” Sensors, vol.19, no.1, pp:125-152, 2019.

[9]    L. Zhang, Y.S. Li, Y.J. Gu, W.K. Yang,“An Efficient Machine Learning Approach for Indoor Localization” China Communications vol. 14, no.11, pp: 141-150, 2017.

[10] Y.Z. Li, C. Tao, L. Liu, L. Zhang, “Energy-Efficiency-Aware Relay Selection in Distributed Full Duplex Relay Network with Massive MIMO” Science China Information Sciences, no.2, vol.60, pp:1-15, 2017.

[11] L. Zhang, C Liu , et al. “Performance of Relay Networks in Fading Environments With Dominant Specular Components” China Communications vol 12, no.8, pp: 69-78, 2016.

[12] L. Zhang, C Liu, J.Y. Zhang, F.E. Wu “Generalized physical layer channel model for relay-based super dense networks” China Communications vol 12, no.8, pp: 123-131, 2015.

[13] L. Zhang, J.Y. Zhang, Y.Z. Li. “Outage Probability Analysis of Relay Systems over κ-μ Fading Channels” China Communications, vol 11, no.10, pp: 60-66, 2014.

[14] 张令文,超宽带室内定位关键技术, 数据采集与处理,vol.28, no.6, pp:1-8, 2013.11.

[15] L. Zhang, et al. “Average channel capacity of composite κ-μ/Gamma fading channels” China Communications, vol.10, no.6, pp: 28-34, 2013.

[16] L. Zhang et al. “An energy-efficient localization algorithm for mobile vehicles in vehicle to vehicle network” Concurrency and Computation Practice and Experience, vol.24, no.11, pp:1213-1222, 2012.

[17] L. Zhang et al. “Compressive sensing based high resolution time delay estimation for UWB system” International Journal of Digital Content Technology and Its Applications, vol.6, no.21, pp: 170-181, 2012.

[18] L. Zhang et al. “Sparsity-based AOA Estimation for emitter localization”, TELKOMNIKA Indonesia Journal of Electrical Engineering, vol.10, no.4, pp: 769-774, 2012.

[19] J. Y. Zhang, Z.H. Tan, X. X. Yu, H.B. Wang, L. Zhang, “Review of Public Broadband Access Systems for High-speed Railway and Key Technologies”, Journal of The China Railway Society, vol.1, no.34, pp:46-53,2012

[20] L. Zhang et al. “A novel sampling algorithm for IR-UWB time-delay estimation based on CS” International Journal of Advancements in Computing Technology, vol.5,no.3, pp:368-378,2013.

[21] L. Zhang et al., “Global vehicular communication DSRC standards development and their applications” Journal of Highway and Transportation Research and Development, vol.28, no.S1, pp:71-76, 2011.

[22] L. Zhang et al., “Study on Compressive Sensing in the Application of Wireless Localization,” Journal of Internet Technology, vol.7 no.1 pp.65-722010.

[23] L. Zhang et al., “A Novel UWB Signal Sampling Method for Localization Based on Compressive Sensing,” China Communications, vol. 11, no.1, pp.119-123, 2010.

[24] L. Zhang et al. "Applications of DS-UWB in Home Nerworks," ZTE COMMUNICATIONS, vol. 12, pp. 36-39, 2006.

[25] 张令文 基于泰勒级数展开的蜂窝TDOA定位新算法通信学报, vol. 28, pp.7-11, 2007.

[26] L. Zhang et al. "A new TDOA algorithm based on Taylor series expansion in cellular networks (Invited paper)," Frontiers of Electrical and Electronic Engineering in China, vol. 3, pp. 40-43, 2008.

[27] 张令文, 张金宝 “基于数据融合技术的单基站混合定位算法”, vol. 29, pp. 100-104, 2008.

 

 

会议论文

 

[1]    L. Zhang, N. Xiao, et.al , “Heterogeneous Feature Machine Learning for Performance-enhancing Indoor Localization” 2018 IEEE 87th Vehicular Technology Conference spring, pp.1-5 , 2018

[2]    J. Li, I. T Lu, J. Lu, L. Zhang, “Robust Kernel-Based Machine Learning Localization Using NLOS TOAs or TDOAs” IEEE Systems, Applications and Technology Conference 2017, pp. 1-6, 2017.

[3]    Y. Z. Li, C. Tao, L. Liu, L. Zhang, “Optimal Resource Allocation for Massive MIMO over Spatially Correlated Fading Channels” IEEE 83rd Vehicular Technology Conference (VTC2016-Spring), pp.1-5, 2016.

[4]    Y. Z. Li, C. Tao, L. Liu, L. Zhang, “Distributed Massive MIMO Full Duplex Relay Network over Rician Fading Channels” 2015 IEEE/CIC International Conference on Communications in China (ICCC), pp.1-5, 2015.

[5]    G.M. Ding, Z.H. Tan, J.B. Zhang, L. Zhang, "Fingerprinting localization based on affinity propagation clustering and artificial neural networks" 2013 IEEE Wireless Communications and Networking Conference (WCNC), pp. 2317-2322, 2013.

[6]    G.M. Ding, Z.H. Tan, J.B. Zhang, L. Zhang, "Regional propagation model based fingerprinting localization in indoor environments" 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 291-295, 2013.

[7]    G.M. Ding, L. Zhang, J.B. Zhang, Z.H. Tan, "Overview of received signal strength based fingerprinting localization in indoor wireless LAN environments" 2013 IEEE 5th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE), pp. 160-164, 2013.

[8]    G.M. Ding, Z.H. Tan, L. Zhang et. al, "Hybrid TOA/AOA Cooperative Localization in non-line-of-sight Environments" IEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings, pp. 1-5, 2012.

[9]    L. Zhang, “An Energy-Computation-Efficient (ECE) Method for Mobile Localization in Sensor Networks”, pp: 344-349, CHINACOM 2011.

[10] L. Zhang, “Design of Optimum Filters for WCDMA Base Station Based on SDR,” the 8th International Conference on Signal Processing, ICSP, pp. 56-59, 2006.

[11] L. Zhang, “An Improved Single Home Base Station Localization Method,” in New Technologies, Mobility and Security, NTMS '08, 2008, pp.1-6.

 


 

 


专著/译著

[1]    Book title: Cellular Networks, ISBN: 978-953-307-246-3, Chapter 1: Wireless positioning: fundamentals, systems and state of the art signal processing techniques, pp:1-50, Authors: Lingwen Zhang, INTECH Publisher, 2011.

[2]    铁通公司移动通信理论与实践普及读本,“TD-SCDMA移动通信系统” “ TD-LTE移动通信系统” 两章,PP:76-102, ISBN:9787113186333,2014年6月,中国铁道出版社.

专利

[1]    一种基于大数据的无线信道传播模型的构建方法,专利号:201510041414.3

[2]    高速移动条件下小区搜索方法,专利号:201010217080.8

[3]    基于超分辨率UWB信号传播时延估计的室内定位方法及系统,专利号:201110079245.4

[4]    一种移动终端定位精度改进方法,专利号:201110195898.9

[5]    一种改进的基于分簇神经网络的室内指纹定位方法,专利号:201210429784.0

[6]    3GPP国际标准提案IMT-A_LTE+_10279一种应用于MIMO全双工中继系统的干扰消除技术

[7]    3GPP国际标准提案IMT-A_LTE+_10301关于高速移动条件下小区搜索及同步问题的讨论

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