Topological Localization Via Signals of Opportunity

We consider problems of localization, disambiguation, and mapping in a domain filled with signals-of-opportunity generated by transmitters. One or more (static or mobile) receivers utilize these signals and from them characterize the domain, localize, disambiguate, etc. The tools we develop are topo...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2012-05, Vol.60 (5), p.2362-2373
Main Authors: Robinson, M., Ghrist, R.
Format: Article
Language:English
Subjects:
Applied sciences
Detection, estimation, filtering, equalization, prediction
Discretization
Exact sciences and technology
Feasibility
Information, signal and communications theory
Localization
Manifolds
mapping
Mobile communication
Modeling
opportunistic signals
Position (location)
Receivers
sensor networks
Sensors
Signal and communications theory
Signal processing
Signal processing algorithms
Signal, noise
Telecommunications and information theory
Topology
Transmitters
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Description
Summary:We consider problems of localization, disambiguation, and mapping in a domain filled with signals-of-opportunity generated by transmitters. One or more (static or mobile) receivers utilize these signals and from them characterize the domain, localize, disambiguate, etc. The tools we develop are topological in nature, and rely on interpreting the problem as one of embedding the domain into a sufficiently high-dimensional space of signals via a signal profile function. Varying kinds of signal processing (TOA, TDOA, DOA, etc.) and discretization are addressed. Finally, we describe experiments that demonstrate the feasibility of these ideas in practice.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2012.2187518