Robust Low Complexity Approaches to Source Localization and Sensor Placement in Wireless Networks
Zhi Ding (UC Davis)
APPLIED SIGNAL PROCESSING SERIESDATE: 2011-02-24
TIME: 11:00:00 - 12:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
Recent advances in wireless sensor networks have led to renewed interests in the problem of source localization. Wireless source localization refers to the use of a set of stationary and mobile sensors to estimate the unknown location of a source using information related to their relative positions to the source. The measurement information can be distance, bearing, power level, time of arrival. To support the full scope of localization based applications, it is important to ensure that localization occurs accurately and in an eficient and timely manner. This seminar describes some recent findings as a comprehensive effort to address multiple fundamental issues in wireless source and sensor localization with broad applications including search and rescue. Among various measurement models, one important and practical source signal measurement is the received signal time of arrival (TOA) at a group of collaborative wireless sensors. Without synchronizing to the transmitter, in traditional approaches, these received TOA measurements are subtracted pairwise to form time-difference of arrival (TDOA) data for source localization, thereby leading to a 3dB loss in signal to noise ratio. We take a different approach by directly applying the original measurement model without difference preprocessing. We present two new methods based on semidefinite programming (SDP) relaxation for direct source localization. We further address the issue of robust estimation given measurement errors and inaccuracy in the locations of receiving sensors. Our results demonstrate some potential advantages of source localization based on the direct TOA data over time-difference preprocessing.
BIO:
Zhi Ding (S'88-M'90-SM'95-F'03) is the Child Family Endowed Professor of Engineering and Entrepreneurship at the University of California, Davis. He received his Ph.D. degree in Electrical Engineering from Cornell University in 1990. From 1990 to 2000, he was a faculty member of Auburn University and later, University of Iowa. Prof. Ding has held visiting positions in Australian National University, Hong Kong University of Science and Technology, NASA Lewis Research Center and USAF Wright Laboratory. Prof. Ding has active collaboration with researchers from several countries including Australia, China, Japan, Canada, Taiwan, Korea, Singapore, and Hong Kong. He was also a guest Changjiang Chair Professor of the Southeast University in Nanjing, China.
Dr. Ding is a Fellow of IEEE and has been an active member of IEEE, serving on technical programs of several workshops and conferences. He was associate editor for IEEE Transactions on Signal Processing from 1994-1997, 2001-2004, and associate editor of IEEE Signal Processing Letters 2002-2005. He was a member of technical committee on Statistical Signal and Array Processing and member of technical committee on Signal Processing for Communications (1994-2003). Dr. Ding was the Technical Program Chair of the 2006 IEEE Globecom. He is also an IEEE Distinguished Lecturer (Circuits and Systems Society, 2004-06, Communications Society, 2008-09). Dr. Ding is a coauthor of the text: Modern Digital and Analog Communication Systems, 4th edition, Oxford University Press, 2009.
