CS Talk : Junting CHEN " Underwater Acoustic Source Localization without Energy-decay Models "

Junting CHEN - Phd
Communication systems

Date: -
Location: Eurecom

Room Shannon, 3.00pm Title: Underwater Acoustic Source Localization without Energy-decay Models Speaker: Junting Chen Ming Hsieh Department of Electrical Engineering University of Southern California, Los Angeles, USA Abstract: This talk considers the source localization of several underwater objects based on a modest number of energy measurements in different locations. Since it is very difficult to model or estimate the time- and location-varying signal propagation in the ocean, we focus on localization strategies that neither require specific knowledge of the source signature, nor do they exploit particular energy decay models. Instead, the method is based on generic structural properties of the source signature such as unmodality and homogeneity of the source energy field. First, an observation matrix is constructed using low rank matrix completion methods based on sparse sampling at several sensor locations. Second, the several matrix factorizations are studied to extract the source signatures, and third, a reflected correlation technique is derived to estimate the source location. Our results show that the proposed method decreases the localization error at a higher rate in terms of the number of measurements as compared to some existing baselines. In addition, it is able to distinguish multiple sources although they appear as one peak in the energy field. Biography: Junting Chen received the Ph.D. degree in electronic and computer engineering from Hong Kong University of Science and Technology (HKUST), Hong Kong SAR China, in 2015. He is now a Postdoctoral Research Associate with the Ming Hsieh Department of Electrical Engineering, University of Southern California (USC), Los Angeles, CA, USA. Prior to that, he was a postdoctoral researcher with Department of Communication Systems at EURECOM, France, in 2015–2016. From 2014–2015, he was a visiting student with the Wireless Information and Network Sciences Laboratory at MIT, Cambridge, MA, USA. He was an recipient of the HKTIIT Post-Graduate Excellence Scholarships in 2012 from HKUST. His research interests include signal processing, optimizations, nonlinear control, and statistical learning, with applications to wireless communications and localization.