Imperial College London > Talks@ee.imperial > COMMSP Seminar > Target Direction Finding and Localization with Phaseless Measurements

Target Direction Finding and Localization with Phaseless Measurements

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If you have a question about this talk, please contact Wei Dai.

Abstract:

Target direction finding and localization is an important problem in radar detection and estimation based on antenna arrays. Normally a full measurement (including both phase and magnitude) of the received signals is needed for effective detection and estimation and many classic direction finding algorithms are based on this assumption, such as MUSIC and ESPRIT . However, this would need prior calibration of the whole array system to remove any possible phase errors present in the measurements, which may not be realistic in many practical scenarios and phase errors are not avoidable as a result. In this talk, a new class of methods and algorithms will be presented for effective target direction finding and localization without relying on the phase information of the received array signals, leading to robust solutions to the problem based on magnitude-only measurements.

Short Bio:

Wei Liu received his BSc and LLB . degrees from Peking University, China, in 1996 and 1997, respectively, MPhil from the University of Hong Kong in 2000, and PhD from University of Southampton, UK, in 2003. He then worked as a postdoc first at Southampton and later at Imperial College London. In September 2005, he joined the Department of Electronic and Electrical Engineering, University of Sheffield, UK, first as a Lecturer and then a Senior Lecturer. Since September 2023, he has been a Reader in Signal Processing and Wireless Communications at the Antennas and Electromagetics Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, UK. He has published 390+ journal and conference papers, five book chapters, and two research monographs titled “Wideband Beamforming: Concepts and Techniques’’ (Wiley, March 2010) and ``Low-Cost Smart Antennas’’ (Wiley, March 2019), respectively. His research interests cover a wide range of topics in signal processing, with a focus on sensor array signal processing and its various applications, such as robotics and autonomous systems, human computer interface, radar, sonar, and wireless communications.

He is a member of the Digital Signal Processing Technical Committee of the IEEE Circuits and Systems Society (Chair for 2022-2024), the Sensor Array and Multichannel Signal Processing Technical Committee of the IEEE Signal Processing Society (SPS) (Chair for 2021-2022), the IEEE SPS Technical Directions Board (2021-2022), and the IEEE SPS Conference Board (2022-2023). He also acted as an associate editor for IEEE Trans. on Signal Processing, IEEE Access, and Journal of the Franklin Institute, and currently he is an Executive Associate Editor-in-Chief of the Frontiers of Information Technology and Electronic Engineering. He is an IEEE Distinguished Lecturer for the Aerospace and Electronic Systems Society (2023-2024).

This talk is part of the COMMSP Seminar series.

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