报告题目(Title): TDOA Localization of an Object without Prior Knowledge of Near-Field or Far-Field
报告人姓名(Speaker): Dominic K.C. Ho
时间(Date&Time): March 27, 10am
地点(Location): Room D308, School of IoT
报告摘要(Abstract): Localization of an object is fundamental in many engineering applications, including wireless communications, sensor networks, microphone array, robotics, and many others. Using of a number of sensors and observing the signal arrival time differences, we are able to determine the unique coordinates of an object if it is not distant. On the other hand, we can only obtain its Direction of Arrival (DOA) if it is far away. One has to know if the object is near or far to apply point positioning or DOA estimation and such knowledge is often unavailable in practice. Using a near-field model to locate a distant object will yield an unreasonable result caused by the thresholding effect and applying a far-field model to a near object will produce a significant DOA bias. This talk revisits the Hybrid Bhattacharyya-Barankin (HBB) Bound that illustrates the thresholding phenomenon in locating the point position of an object as its range to the sensor array increases. A unified TDOA positioning estimator based on an iterative implementation of the Maximum Likelihood Estimator (MLE) is next introduced, which does not require the knowledge if the object is near or far. It automatically generates a point position if the object is near and a DOA estimate f it is distant. An initialization to the MLE based on a solution by the semidefinite relaxation is proposed. Simulation examples validate the good performance of the proposed estimator.
Dominic K. C. Ho was born in Hong Kong. He received the B.Sc. degree with First Class Honors in Electronics and the Ph.D. degree in Electronic Engineering, both from the Chinese University of Hong Kong.
He was a research associate in the Royal Military College of Canada, a member of Scientific Staff at the Bell-Northern Research, Montreal, Canada, and a faculty in the Department of Electrical Engineering at the University of Saskatchewan, Saskatoon, Canada. He is currently a James C. Dowell Professor in the Electrical Engineering and Computer Science Department of the University of Missouri. His research interests are in sensor array processing, source localization, wireless communications and adaptive processing.
Dr. Ho is a Fellow of the IEEE. He was a Technical Chair of the IEEE International Conference on Acoustics, Speech and Signal Processing 2016 (ICASSP2016). Dr. Ho served as the Past Chair (2015), Chair (2013-2014) and Vice-Chair (2011-2012) of the Sensor Array and Multichannel (SAM) Technical Committee of the IEEE Signal Processing Society. He was in the organizing committees of the IEEE SAM 2008 Workshop and the IEEE CAMSAP 2011. He was an Associate Editor of the IEEE Transactions on Signal Processing (2009-2013, 2003-2006) and the IEEE Signal Processing Letters (2004-2008). He received the Senior Faculty Research Award in 2014 and 2009, the Junior Faculty Research Award in 2003 and the Teaching Award in 2006 from the College of Engineering at the University of Missouri. He is an inventor of 22 patents in the United States, Canada, Europe and Asia on geolocation and signal processing for wireless communications.
邀请人 (Inviter): 杨乐