學術報告 | 2D Sparse sampling using coprime quadratic integers

發布者:孫威發布時間:2019-06-12浏覽次數:866

題目:2D Sparse sampling using coprime quadratic integers
時間:2019年6月13日上午10:00開始
地點:無線谷1319會議室
報告人:Dr. Lu Gan(Brunel University) 甘露 校友

歡迎實驗室老師和研究生參加!


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. 


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