Range Estimation in Multicarrier Systems in the Presence of Interference: Performance Limits and Optimal Signal Design

Karisan, Yasir; Dardari, Davide; Gezici, Sinan; D’Amico, Antonio A.; Mengali, U.

doi:10.1109/twc.2011.072511.101844

Cited by 22 publications

(24 citation statements)

References 26 publications

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“…Proof: Optimization problems in the form of (17) have been studied in the OFDM and MIMO literature; e.g., [39] and [40]. The expression in (18) can be derived in a similar fashion to the derivation in [39]. First, it is observed that the elements of w defined in the proposition are all positive, which is based on the definitions of a i and r i in (10) and (15), respectively.…”

Section: ) Optimal Power Allocation Based On Average Crlbmentioning

confidence: 99%

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%

Jamming of Wireless Localization Systems

Gezici

Gholami²,

Bayram

et al. 2016

IEEE Trans. Commun.

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show abstract

“…A large gap is observed between our fine timing estimator and the CRB. An ML estimator as in [9] would have achieved the CRB at large SNR values at the expenses of complexity. It is also important to note that the proposed algorithm uses six PRS OFDM symbols within a subframe, even though eight PRS OFDM symbols are available.…”

Section: B Simulation Resultsmentioning

confidence: 99%

“…Assuming that the subcarrier spacing ߂݂=1/T is smaller than the channel coherence bandwidth, so that each subcarrier experiences a flat frequency domain channel, the received baseband signal in the case of absence of interference can be modeled as [9]: …”

Section: Appendix: Crb Derivationmentioning

confidence: 99%

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Performance analysis of PRS-based synchronization algorithms for LTE positioning applications

Panchetti

Carbonelli

Horvat

et al. 2013

2013 10th Workshop on Positioning, Navigation and Communication (WPNC)

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Among the user equipment (UE) assisted position applications in Long Term Evolution (LTE), the observed time-difference of arrival (OTDOA) method which uses measurements reported by the UE physical layer provides the highest precision. The UE measurement task is based on dedicated positioning pilot signals and translates to a time synchronization problem, which is the focus of this paper work. Our analysis comprises the illustration of the proposed synchronization algorithm, its performance benchmarking in AWGN and multipath channels, the derivation of theoretical bounds and simulation results in a realistic LTE cellular scenario.

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“…In Section 4.4.3, CRBs are derived for TOA estimation in systems that employ an OFDM type signal in the presence of interference [28,63]. Here we show how these results can be exploited to design the optimal waveform shape that minimizes the CRB given a sensed interference spectrum and power spectral emission constraints.…”

Section: Cognitive Toa Estimationmentioning

confidence: 99%