Jamming of Wireless Localization Systems

被引：20

作者：

Gezici, Sinan ^{[1
]}

Gholami, Mohammad Reza ^{[2
]}

Bayram, Suat ^{[3
]}

Jansson, Magnus ^{[4
]}

机构：

[1] Bilkent Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey

[2] Campanja AB, SE-11157 Stockholm, Sweden

[3] Turgut Ozal Univ, Dept Elect & Elect Engn, TR-06010 Ankara, Turkey

[4] KTH Royal Inst Technol, Elect Engn, ACCESS Linnaeus Ctr, S-10044 Stockholm, Sweden

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 2016年 / 64卷 / 06期

关键词：

Localization; jammer; power allocation; Cramer-Rao lower bound; POWER ALLOCATION; JOINT POWER; PART I; OPTIMIZATION; STRATEGIES; ALGORITHM; NETWORKS; AVERAGE; LIMITS;

D O I：

10.1109/TCOMM.2016.2558560

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 Cramer-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.

引用

页码：2660 / 2676

页数：17

共 54 条

[21] Gezici S, 2015, IEEE INT CONF COMM, P877, DOI 10.1109/ICCW.2015.7247286
[22] Gezici S, 2015, IEEE INT WORK SIGN P, P665, DOI 10.1109/SPAWC.2015.7227121
[23] Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems
Gezici, Sinan
[J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2007, 1 (03) : 405 - 417
[24] Power Allocation Strategies for Target Localization in Distributed Multiple-Radar Architectures
Godrich, Hana
Petropulu, Athina P.
Poor, H. Vincent
[J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (07) : 3226 - 3240
[25] Hui Hu, 2009, 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS 2009), P388, DOI 10.1109/PEITS.2009.5406988
[26] Jorswieck EA, 2005, IEEE VTS VEH TECHNOL, P978
[27] The capacity of average and peak power constrained fading channels with channel side information
Khojastepour, MA
Aazhang, B
[J]. 2004 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-4: BROADBAND WIRELESS - THE TIME IS NOW, 2004, : 77 - 82
[28] Li W., 2011, PHYS RES INT, V2011, P1, DOI [10.1155/2011/791545, DOI 10.1155/2011/791545, https://doi.org/10.1155/2011/791545]
[29] Li W, 2014, IEEE INT CONF COMMUN, P442, DOI 10.1109/ICCChina.2014.7008318
[30] Robust Power Allocation for Energy-Efficient Location-Aware Networks
Li, William Wei-Liang
Shen, Yuan
Zhang, Ying Jun
Win, Moe Z.
[J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2013, 21 (06) : 1918 - 1930

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