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Lognormal mixture Cramer-Rao lower bound for localization

2015 International Wireless Communications and Mobile Computing Conference (IWCMC), 2015
In received signal strength (RSS) based localization problems, the accuracy of the position information obtained is closely associated with the RSS model used. Therefore, positioning success can be improved with a more accurate RSS model. In this study, to analyze the effect of RSS model in localization performance, lognormal mixture shadowing model is
Saliha Buyukcorak   +2 more
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Decreasing Cramer–Rao lower bound by preprocessing steps

Signal, Image and Video Processing, 2019
In this paper, having reviewed necessary preliminaries, including sparsity, Tsallis entropy, diversity, preprocessing, fisher information, and Cramer–Rao bound, we analyze the impact of preprocessing a signal on the signal sparsity related to Cramer–Rao lower bound and its main feature, for example, its reconstruction error. The main idea of this paper
Sara Monem Khorasani   +2 more
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A Cramer–Rao Lower Bound of CSI-Based Indoor Localization

IEEE Transactions on Vehicular Technology, 2018
Due to robustness against multipath effect, frequency domain CSI (Channel State Information) of OFDM (Orthogonal Frequency Division Multiplexing) systems is supposed to provide good ranging measurement for indoor localization. Since lower bound of positioning error for CSI-based localization has been rarely reported, this paper proposes a Cramer–Rao ...
Linqing Gui   +5 more
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Cramer–Rao Lower Bounds for Curve Fitting

Graphical Models and Image Processing, 1998
Abstract We point out that the derivation of the Cramer–Rao lower bound for estimating a circular arc center and its radius by Chan and Thomas (Graphical Models Image Process.57, 1995, 527–532) has some problems although the final result is correct.
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Posterior Cramer–Rao Lower Bounds for dual Kalman estimation

Digital Signal Processing, 2012
We present the Posterior Cramer-Rao Lower Bounds (PCRLB) for the dual Kalman filter estimation where the parameters are assumed to be time-invariant and stationary random variables. Relations between the PCRLB, the states, and the parameters are established and recursions are obtained for finite observation time.
Esra Saatci, Aydin Akan
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A Cramer-Rao lower bound for complex parameters

IEEE Transactions on Signal Processing, 1994
An expression is derived for a Cramer-Rao lower bound on the variance of unbiased estimators of complex parameters. >
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Cramer-Rao Lower Bound for Linear Independent Component Analysis

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
This paper derives a closed-form expression for the Cramer-Rao bound (CRB) on estimating the source signals in the linear independent component analysis problem, assuming that all independent components have finite variance. It is also shown that the fixed-point algorithm known as FastICA can approach the CRB (the estimate can be nearly efficient) in ...
Zbynek Koldovský   +2 more
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Cramer-Rao lower bound for parameter estimation in nonlinear systems

IEEE Signal Processing Letters, 2005
Calculation of the Cramer-Rao lower bound, i.e., the inverse of the Fisher information matrix, for output data sets of a general nonlinear system is a challenging problem and is considered in this letter. It is shown that the Fisher information matrix for a data set generated by a nonlinear system with additive Gaussian measurement noise can be ...
Zhiping Lin 0001   +3 more
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Cramer-Rao Lower Bounds for UWB Localization with Antenna Array

2010 IEEE International Conference on Communications, 2010
Impulse radio localization is an ideal technology for indoor localization. In this paper, we derive the Cram'er-Rao lower bounds (CRLBs) of impulse radio localization with antenna array reception. Previous works on CRLBs of localization with antenna array reception require an important assumption that the multipath components which arrive at the ...
Qi Zhang 0002   +2 more
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An Approximate Cramer–Rao Lower Bound for Multiple LFMCW Signals

IEEE Transactions on Aerospace and Electronic Systems, 2017
In this paper we focus on deriving an approximate Cramer–Rao lower bound (CRLB) for the parameters of a multicomponent linear frequency modulated continuous wave (LFMCW) signal corrupted by complex additive white Gaussian noise. The approximation is necessary due to the discontinuities inherent in the mathematical model of the instantaneous phase of ...
Brandon M. Hamschin, Michael T. Grabbe
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