Location Estimation and Navigation Using TV SignalsOctober 26, 2007
Harvind Samra, Kestrel Signal Processing Inc., Fairfield, California
Location information is becoming increasingly essential for emergency services, security tracking, and a host of other applications. Quite simply, knowing where we are is important. The most popular and pervasive technology in the location industry is the Global Positioning System (GPS). Despite 25+ years of refinement and enhancement, GPS is significantly limited in indoor and urban environments where signal detection and multipath can become problematic. These are obviously environments where location information could benefit us greatly. In this seminar, we'll discuss GPS positioning and its drawbacks, and a recently developed positioning technology that uses unmodified broadcast TV signals for positioning where GPS often fails. The ultimate objective is to provide a basic understanding of positioning through a discussion of GPS and TV positioning solutions from a signal processing perspective.
Harvind Samra is a partner in Kestrel Signal Processing, Inc., providing algorithm and system development, software/firmware and hardware design, and some technical management for several corporations in the Bay Area. He recently worked for the Rosum Corporation as a Senior Engineer, where he was responsible for the system, algorithm, and software development of location estimation technologies based upon television signals. He also served as a Research Engineer for Statistical Signal Processing, Inc., developing real-time communication and signal intelligence (COMINT, SIGINT) software packages that characterize co-channel GSM and IS-136 RF environments. He holds a Ph. D. degree in Electrical Engineering from the University of California, Davis, where his research focused upon the development of novel signal processing algorithms for exploiting packet retransmissions. He also holds M.S. degree in electrical engineering from the Georgia Institute of Technology, and B.S. degrees in both electrical and computer engineering from the University of Kansas. He has authored many IEEE conference and journal papers.