学术报告 | 2D Sparse sampling using coprime quadratic integers

发布者:孙威发布时间:2019-06-12浏览次数:401

题目:2D Sparse sampling using coprime quadratic integers
时间:2019年6月13日上午10:00开始
地点:无线谷1319会议室
报告人:Dr. Lu Gan(Brunel University) 甘露 校友

欢迎实验室老师和研究生参加!


Abstract:
Over the past few years, there has been increased interests in the study of coprime sparse arrays and their applications in sonar, radar and communications. Most existingwork focus on 1D coprime sampling.  This talk will introduce the basic concept of quadratic integers, Chinese remainder thereom over rings and construction of coprime 2D lattice for rectangular and hexagonal array.  Construction of symmetric 2D coprime sampling using quadratic integers will be introduced. Thinned 2D coprime arrays with reduced number of sensors will also be presented along with simulation results in MIMO radar and Direction of Arrival (DOA) esitmation. 

Short bio:
Dr. Lu Gan received her B. Eng and M. Eng. degrees from South East University, China and the Ph.D degree from Nanyang Technological University, Singapore in 1998, 2000 and 2004 respectively. She is currently a senior lecturer (equivalent to associate professor) in Brunel University, London. Before she joined Brunel University in 2008, she has been on the faculties with The University of Newcastle (2004-2006), Australia and University of Liverpool, UK (2006-2007). From 2003 to 2004, she was a research associate in Centre for Signal Processing, Nanyang Technological University. 
Dr. Gan’s research interests include fundamental signal processing theories and their applications in image/video coding and processing, non-destructive terahertz and ultrasound imaging, machine learning and wireless communications etc.