UP	Paper 121	US-M-AB	DOWN
KUPS: Knowledge-based Ubiquitous and Persistent Sensor networks for Threat Assessment
Liang,Qilian		University of Texas at Arlington
In this paper, we propose a Knowledge-based Ubiquitous and Persistent Sensor networks (KUPS) for threat assessment, of which &096;&096;sensor'' is a broad characterization concept. It means diverse data or information from ubiquitous and persistent sensor sources such as organic sensors and human intelligence sensors. Our KUPS for threat assessment consists of two major steps: threat detection using fuzzy logic systems and threat parameter estimation using radar sensor networks. Our fuzzy logic systems can combine the linguistic knowledge from different intelligent sensors. We propose a maximum-likelihood (ML) estimation algorithm for target RCS parameter estimation, and we show that our ML estimator is unbiased and the variance of parameter estimation matches the Cramer-Rao lower bound. Simulations further validate these theoretical results.
Qilian Liang received the B.S. degree from Wuhan University, China, in 1993, M.S. degree from Beijing University of Posts and Telecommunications in 1996, and Ph.D degree from University of Southern California (USC) in May 2000, all in Electrical Engineering. Dr. Liang joined the faculty of the University of Texas at Arlington in August 2002. Prior to that he was a Member of Technical Staff in Hughes Network Systems Inc at San Diego, California. His research interests include Sensor networks (energy efficiency, cross layer design, optimal sensor deployment, etc), wireless communications, wireless networks, communication system and communication theory, signal processing for communications, fuzzy logic systems and applications, multimedia network traffic modeling and classification, collaborative and distributed signal processing. Dr. Liang has published more than 90 journal and conference papers, 4 book chapters, and has 6 U.S. patents pending. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, 2003 U.S. Office of Naval Research (ONR) Young Investigator Award, and 2005 UTA College of Engineering Outstanding Young Faculty Award.