A complex convex relaxation for approximate maximum likelihood 2D energy-based source localization in sensor networks

Marko Beko, DEE Group Author

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper addresses the energy-based self-localization problem in wireless sensor networks. An approximate solution to the maximum likelihood location estimation problem is presented, by redefining the problem in the complex plane and relaxing the minimization problem into semidefinite programming form. Simulation results show that the presented method is effective at moderate to high noise levels.
Original languageUnknown
Title of host publicationWireless Communication Systems (ISWCS), 2010 7th International Symposium on
Pages150-153
DOIs
Publication statusPublished - 1 Jan 2010
EventWireless Communication Systems (ISWCS), 2010 7th International Symposium on -
Duration: 1 Jan 2010 → …

Conference

ConferenceWireless Communication Systems (ISWCS), 2010 7th International Symposium on
Period1/01/10 → …

Cite this

Beko, M., & DEE Group Author (2010). A complex convex relaxation for approximate maximum likelihood 2D energy-based source localization in sensor networks. In Wireless Communication Systems (ISWCS), 2010 7th International Symposium on (pp. 150-153) https://doi.org/10.1109/ISWCS.2010.5624322
Beko, Marko ; DEE Group Author. / A complex convex relaxation for approximate maximum likelihood 2D energy-based source localization in sensor networks. Wireless Communication Systems (ISWCS), 2010 7th International Symposium on. 2010. pp. 150-153
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abstract = "This paper addresses the energy-based self-localization problem in wireless sensor networks. An approximate solution to the maximum likelihood location estimation problem is presented, by redefining the problem in the complex plane and relaxing the minimization problem into semidefinite programming form. Simulation results show that the presented method is effective at moderate to high noise levels.",
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Beko, M & DEE Group Author 2010, A complex convex relaxation for approximate maximum likelihood 2D energy-based source localization in sensor networks. in Wireless Communication Systems (ISWCS), 2010 7th International Symposium on. pp. 150-153, Wireless Communication Systems (ISWCS), 2010 7th International Symposium on, 1/01/10. https://doi.org/10.1109/ISWCS.2010.5624322

A complex convex relaxation for approximate maximum likelihood 2D energy-based source localization in sensor networks. / Beko, Marko; DEE Group Author.

Wireless Communication Systems (ISWCS), 2010 7th International Symposium on. 2010. p. 150-153.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper addresses the energy-based self-localization problem in wireless sensor networks. An approximate solution to the maximum likelihood location estimation problem is presented, by redefining the problem in the complex plane and relaxing the minimization problem into semidefinite programming form. Simulation results show that the presented method is effective at moderate to high noise levels.

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Beko M, DEE Group Author. A complex convex relaxation for approximate maximum likelihood 2D energy-based source localization in sensor networks. In Wireless Communication Systems (ISWCS), 2010 7th International Symposium on. 2010. p. 150-153 https://doi.org/10.1109/ISWCS.2010.5624322