2D Sparse sampling using coprime quadratic integers-2019年6月13日上午10:00-无线谷1319会议室
发布人: 王瀚颖   发布时间: 2019-06-12    浏览次数:

题目2D Sparse sampling using coprime quadratic integers 



报告人Dr. Lu GanBrunel University




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.