Optimization Techniques for Beamforming
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摘要
In this tutorial, we will review some useful optimization techniques for beamforming applications, including decomposition of a large array for efficient beamforming, solution robustness to DoA estimation errors (especially when the degree of freedom is limited), joint attention decoding and microphone array beamforming.
关键词
microphone array beamforming;DoA estimation errors
报告人
Zhi-Quan (Tom) Luo
Shenzhen Research Institute of Big Data;CUHK(SZ)-Tencent AI Lab Joint Laboratory on Machine Intelligence

Vice President (Academic), Director of Shenzhen Research Institute of Big Data, Director of CUHK(SZ)-Tencent AI Lab Joint Laboratory on Machine Intelligence

Professor Zhi-Quan (Tom) Luo received his BSc degree in Applied Mathematics from Peking University, China, in 1984. In the same year, he was selected by a joint AMS-SIAM committee and the Ministry of Education of China for graduate study in the United States (S.S. Chern Program). Following a 12-month intensive training in English and Mathematics, he enrolled in the Massachusetts Institute of Technology where he received a PhD degree in Operations Research in 1989. From 1989 to 2003, he was on the faculty in the Department of Electrical and Computer Engineering, McMaster University, Canada where he eventually served as the department head and was awarded a Canada Research Chair (Tier I) in Information Processing. From 2003 to 2014, Professor Luo has been a full professor at the Department of Electrical and Computer Engineering, University of Minnesota and held an endowed ADC Chair in digital technology. Currently, Professor Luo serves as the Vice President (Academic) of The Chinese University of Hong Kong, Shenzhen, and concurrently the Director of Shenzhen Research Institute of Big Data and also the Director of CUHK(SZ)-Tencent AI Lab Joint Laboratory on Machine Intelligence.

His general research interests include the theory, design and analysis of efficient optimization algorithms with application to data communication, wireless and optical networks and systems, and signal processing.
He is especially interested in computation/communication complexity issues arising from these problem areas. This includes both providing theoretical lower bounds on the complexity and designing efficient methods whose complexity closely match the lower bounds. His current research interest lies in the theory of multi-user communications and the application of optimization techniques to the design of multi-antenna communication systems.

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重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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