Abstract
Obtaining the location of a 'passive' target in wireless sensor networks has attracted numerous interest in recent years. This paper considers the passive localization based on time-of-arrival measurements in an asynchronous sensor network where the receivers are with both clock skew and offset. Based on the factor graph model, the beliefs (approximated marginal) of target location and clock parameters can be obtained by executing iterative message passing algorithms. To reduce the huge complexity of particle based method, we propose two approximate approaches to determine parametric Gaussian message passing. Simulation results show that the proposed low complexity algorithm performs close to the particle-based method and attain the Cramer-Rao bound.
Original language | English |
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Title of host publication | 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016 |
Publisher | IEEE |
ISBN (Electronic) | 9781509032549 |
ISBN (Print) | 9781509032556 |
DOIs | |
Publication status | Published - 21 Dec 2016 |
Externally published | Yes |
Event | 27th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016 - Valencia, Spain Duration: 4 Sept 2016 → 8 Sept 2016 |
Publication series
Name | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC |
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Conference
Conference | 27th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016 |
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Country/Territory | Spain |
City | Valencia |
Period | 4/09/16 → 8/09/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- clock skew and offset
- Cramer-Rao bound
- factor graph
- message passing algorithm
- Passive localization
- wireless sensor networks