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Estimation theoretic optimal encoding design for secure transmission of multiple parameters
(IEEE, 2019-08-15)
In this paper, optimal deterministic encoding of a vector parameter is investigated in the presence of an eavesdropper. The objective is to minimize the expectation of the conditional Cramér-Rao bound at the intended ...
Accuracy limits of distance estimation in visible light systems with RGB LEDs
(IEEE, 2019-09)
The distance estimation problem is investigated for visible light positioning (VLP) systems with red-green-blue (RGB) light emitting diodes (LEDs). The accuracy limits on distance estimation are calculated in terms of the ...
ECRB-based optimal parameter encoding under secrecy constraints
(Institute of Electrical and Electronics Engineers, 2018)
In this paper, optimal deterministic encoding of a scalar parameter is investigated in the presence of an eavesdropper. The aim is to minimize the expectation of the conditional Cramér-Rao bound at the intended receiver ...
Theoretical limits for estimation of vital signal parameters using impulse radio UWB
(IEEE, 2007)
In this paper, Cramer-Rao lower bounds (CRLBs) for estimation of vital signal parameters, such as respiration and heart-beat rates, using ultra-wideband (UWB) pulses are derived. In addition, a simple closed-form CRLB ...
Optimal parameter encoding based on worst case fisher information under a secrecy constraint
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this letter, optimal deterministic encoding of a uniformly distributed scalar parameter is performed in the presence of an eavesdropper. The objective is to maximize the worst case Fisher information of the parameter ...
Noise benefits in joint detection and estimation problems
(Elsevier, 2016)
Adding noise to inputs of some suboptimal detectors or estimators can improve their performance under certain conditions. In the literature, noise benefits have been studied for detection and estimation systems separately. ...
Average fisher information optimization for quantized measurements using additive independent noise
(IEEE, 2010)
Adding noise to nonlinear systems can enhance their performance. Additive noise benefits are observed also in parameter estimation problems based on quantized observations. In this study, the purpose is to find the optimal ...
Optimal stochastic design for multi-parameter estimation problems
(IEEE, 2014- 05)
In this study, we consider performance improvement of an array of fixed estimators by using stochastic design techniques. The optimal design is investigated both in the absence and presence of an average power constraint. ...
A confidence ellipsoid approach for measurement cost minimization under Gaussian noise
(IEEE, 2012-06)
The well-known problem of estimating an unknown deterministic parameter vector over a linear system subject to additive Gaussian noise is studied from the perspective of minimizing total sensor measurement cost under a ...
Localization via visible light systems
(Institute of Electrical and Electronics Engineers, 2018)
Visible light communication (VLC) is an emerging paradigm that enables multiple functionalities to be accomplished concurrently, including illumination, high-speed data communications, and localization. Based on the VLC ...