Optimum Power Allocation for Average Power Constrained Jammers in the Presence of Non-Gaussian Noise

Bayram, Suat; Vanli, N. Denizcan; Dulek, Berkan; Sezer, İlhan; Gezici, Sinan

doi:10.1109/lcomm.2012.052112.120098

Cited by 35 publications

(44 citation statements)

References 10 publications

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“…If the peak power limit is sufficiently high, then the total power P T is assigned to that jammer node (hence, no power is allocated to the other jammer nodes). Otherwise, that jammer node operates at its peak power limit, and the remaining power is assigned to the other jammer node(s) based on the same logic, as formulated in (18).…”

Section: ) Optimal Power Allocation Based On Average Crlbmentioning

confidence: 99%

“…In the waterfilling algorithm, a power level of 1/ϑ 0 − 1/ϑ is assigned for an SNR of ϑ, where ϑ ≥ ϑ 0 with ϑ 0 denoting a threshold obtained from the average power constraint [40]; hence, the assigned power level increases with the SNR. On the other hand, Scheme 1 tends to allocate the whole power to a jammer node that can cause the largest increase in the total CRLB, as stated in (18). If the peak power limit of that jammer node is lower than the total power limit, then the jammer node(s) that can cause the second (third,...) largest increase in the total CRLB are employed.…”

Section: ) Optimal Power Allocation Based On Average Crlbmentioning

confidence: 99%

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Jamming of Wireless Localization Systems

Gezici

Gholami²,

Bayram

et al. 2016

IEEE Trans. Commun.

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Abstract-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 N T jammer nodes according to the second scheme in the absence of peak power constraints, where N T 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.

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Section: ) Optimal Power Allocation Based On Average Crlbmentioning

confidence: 99%

Section: ) Optimal Power Allocation Based On Average Crlbmentioning

confidence: 99%

Jamming of Wireless Localization Systems

Gezici

Gholami²,

Bayram

et al. 2016

IEEE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…From (14), the problem in (16) can be expressed as a linear programming (LP) problem as follows [21]:…”

Section: ) Optimal Power Allocation Based On Average Crlbmentioning

confidence: 99%

“…Based on (14) and (15), the problem in (19) in the epigraph form can be expressed as the following LP problem after some manipulations [21]:…”

Section: ) Optimal Power Allocation Based On Minimum Crlbmentioning

confidence: 99%

“…Although there exists no previous work on optimal power allocation for jammer nodes in a wireless localization system, power allocation for wireless localization and radar systems has recently been considered in [10]- [14]. In [10], optimal transmit power allocation is performed for anchor nodes in order to minimize the squared position error bound (SPEB) and the maximum directional position error bound (mDPEB) of the localization system.…”

Section: Introductionmentioning

confidence: 99%

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Optimal jamming of wireless localization systems

Gezici

Gholami

Bayram

et al. 2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Abstract-In this study, 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 schemes are formulated as linear programs, and a closed-form expression is obtained for the first scheme. Also, the full total power utilization property is specified for the second scheme. Simulation results are presented to investigate performance of the proposed schemes.

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Coherent energy projection of modulated signals from a sparse array

Ouyang

Zeng

2020

Int J RF Microw Comput Aided Eng

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In this article, coherent energy projection is generalized to modulated signals, enabling the precise delivery of energy to a specific target area. The system and mathematical model are established to characterize the far-field energy interference from a randomized sparse transmitting array. By using the method of transmitting delay pre-compensation and spatial coherent combination, the coherent energy of the modulated signals increases significantly after demodulation at the receiving end. The coherent energy scape is presented to describe the spatial distribution of projected energy in the target area, rather than the commonly used performance metric of front-end energy analysis. Then the simulations set out to examine the spatial grating lobes and potential for expanding the focal spot using multi-foci accumulation. We also employ the particle swarm optimization to find the optimum distribution of foci to match the focal spot with the desired target area and energy level. Analysis and numerical results are provided to demonstrate the correctness of the theoretical results and effectiveness of the proposed coherent energy projection method.

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Optimum Power Allocation for Average Power Constrained Jammers in the Presence of Non-Gaussian Noise

Cited by 35 publications

References 10 publications

Jamming of Wireless Localization Systems

Jamming of Wireless Localization Systems

Optimal jamming of wireless localization systems

Coherent energy projection of modulated signals from a sparse array

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