姓  名：

张令文

职  务：

职  称：

副教授

学  历：

研究生

学  位：

博士

通信地址：

电子信息工程学院

邮  编：

100044

办公电话：

电子邮箱：

zhanglw@bjtu.edu.cn

2005–2010  北京交通大学  直博

2001–2005  北京交通大学  本科

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

• 宽带移动通信系统与专用移动通信
• 通信工程
• 人工智能

• 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

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

《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

[1]    L. Zhang, H. Zhao, et al. , "Vehicular positioning based on GPS/IMU data fusion aided by V2X networks," in IEEE Sensors Journal, doi: 10.1109/JSEN.2024.3355185. Early access

[2]    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, doi: 10.1109/JSEN.2021.3112490.

[3]    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.

[4]    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.

[5]    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.

[6]    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.

[7]    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.

[8]    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.

[9]    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.

[10] 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.

[11] 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.

[12] 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.

[13] 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.

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

[15] 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.

[16] 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.

[17] 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.

[18] 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

[19] 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.

[20] 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.

[21] L. Zhang et al., “Study on Compressive Sensing in the Application of Wireless Localization,” Journal of Internet Technology, vol.7 no.1 pp.65-72，2010.

[22] 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.

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

[24] 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.

[25] 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.

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

[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.

[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