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Jamming of Wireless Localization Systems
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-6855-5868
2016 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 64, no 6, p. 2660-2676, article id 7460155Article in journal (Refereed) Published
Abstract [en]

In this paper, the optimal jamming of wireless localization systems is investigated. Two optimal power allocation schemes are proposed for jammer nodes in the presence of total and peak power constraints. In the first scheme, power is allocated to jammer nodes in order to maximize the average Cramér-Rao lower bound (CRLB) of target nodes, whereas in the second scheme, the power allocation is performed for the aim of maximizing the minimum CRLB of target nodes. Both the schemes are formulated as linear programs, and a closed-form solution is obtained for the first scheme. For the second scheme, under certain conditions, the property of full total power utilization is specified, and a closed-form solution is obtained when the total power is lower than a specific threshold. In addition, it is shown that non-zero power is allocated to at most NT jammer nodes according to the second scheme in the absence of peak power constraints, where NT is the number of target nodes. In the presence of parameter uncertainty, robust versions of the power allocation schemes are proposed. Simulation results are presented to investigate the performance of the proposed schemes and to illustrate the theoretical results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. Vol. 64, no 6, p. 2660-2676, article id 7460155
Keywords [en]
Cramér-Rao lower bound, jammer, Localization, power allocation
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-194558DOI: 10.1109/TCOMM.2016.2558560ISI: 000384303400031Scopus ID: 2-s2.0-84976515818OAI: oai:DiVA.org:kth-194558DiVA, id: diva2:1043704
Note

QC 20161031

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-11-29Bibliographically approved

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