Xinrong Li

Associate Professor

Department : 
Electrical Engineering
E-mail: 

Xinrong.Li@unt.edu

Phone: 
940.891.6881
Areas of Expertise
Bio
Dr. Xinrong Li has research interests in statistical signal processing, specifically estimation, detection, collaborative and distributed algorithms; wireless sensor networks: localization, tracking, environmental monitoring; and radio propagation channel study: measurement and modeling.
Education

Ph.D., Electrical Engieering, Worcester Polytechnic Institute, Worcester, MA, 2003
M.E., Electrical Engineering, National University of Singapore, Singapore, 1999
B.E., Automation (Control Systems), University of Science and Technology of China, Hefei, China, 1995

Courses

EENG 2610: Circuit Analysis
EENG 5610: Digital Signal Processing
EENG 5620: Statistical Signal Processing

Articles

Alavi, B., Pahlavan, K., Alsindi, N., and Li, X. (2006). Using UWB measurements for statistical analysis of the ranging error in indoor multipath environment. International Journal on Wireless & Optical Communications, 3(2), 189-202.

Alsindi, N., Li, X., and Pahlavan K. (2007). Analysis of time of arrival estimation using wideband measurements of indoor radio propagations. IEEE Transactions on Instrumentation and Measurement, 56(5), 1537-1545.

An, Z., Zhu, H., Li, X., Xu, C., Xu, Y., and Li, X. (2011). Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks. IEEE Transactions on Industrial Electronics, 58(6), 2205-2215.

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Presentations

Kamineni, N. and Li, X. (July 2010). Analysis of anti-collision multi-tag identification algorithms in passive RFID systems. International Conference on Computing, Communication and Networking Technologies (ICCCNT), Karur, Tamilnadu, India.

Li, X. (July 2010). Analysis of anti-collision multi-tag identification algorithms in passive RFID systems. International Conference on Computing, Communication and Networking Technologies (ICCCNT), Karur, Tamilnadu, India.

Li, X. (June 2010). Design and implementation of low-power wireless sensor networks for environmental monitoring. IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS), Beijing, China.

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