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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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The Cramer-Rao lower bound for bilinear systems

IEEE Transactions on Signal Processing, 2006
Estimation of the unknown parameters that characterize a bilinear system is of primary importance in many applications. The Cramer-Rao lower bound (CRLB) provides a lower bound on the covariance matrix of any unbiased estimator of unknown parameters. It is widely applied to investigate the limit of the accuracy with which parameters can be estimated ...
Zou, Qiyue   +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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Cramer-Rao Lower Bound On Wavefront Sensor Error

SPIE Proceedings, 1986
Wavefront sensors that can operate at low light levels, be built from present technology components, and provide accurate wavefront phase estimates in real time are required for use with adaptive optics systems. The use of estimation theory makes possible the evaluation of wavefront sensors without specification of the wavefront phase estimation ...
Jack Cederquist   +4 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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Cramer-Rao Lower Bound for Harmonic and Subharmonic Estimation

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
Recently, Zarowski and Kmpyvnytskyy developed a modified iterative cosinor algorithm (MICA) for the estimation of the parameters of sinusoidal signals with harmonics and subharmonics contaminated by AWGN, and derived the Cramer-Rao Lower Bound (CRLB) for the estimation of fundamental frequency component of such signals.
null Zhili Chen   +2 more
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Cramer-Rao Lower Bound Analysis for Mobile Robot Navigation

2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2005
This paper studies the Cramer-Rao Lower Bound (CRLB) of the simultaneous localization and map building (SLAM) problem for mobile robot navigation. Performance evaluation of SLAM is carried out and the Extended Kalman filtering (EKF) technique is verifed to be effective for the SLAM problem through the CRLB analysis. Detailed simulation and experimental
null Zhimin Jiang   +2 more
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Cramer-Rao lower bounds for a damped sinusoidal process

IEEE Transactions on Signal Processing, 1995
The Cramer-Rao lower bounds (CRLBs) for the parameter estimators of a damped sinusoidal process are derived in this paper. Succinct matrix expressions for CRLB's of frequency, damping factor, amplitude, and initial phase are given for both scalar and vector processes.
null Ying-Xian Yao, S.M. Pandit
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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 ...
Z. Koldovsky, P. Tichavsky, E. Oja
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Cramer-Rao Lower Bound for Fourier Modulus Wavefront Sensor

Topical Meeting On Signal Recovery and Synthesis II, 1986
A wavefront sensor receives the field from an object after it has acquired a phase aberration due to atmospheric turbulence. The Fourier modulus wavefront sensor operates by using a lens or mirror to Fourier transform the field in the sensor aperture to a measurement plane where the modulus squared (intensity) of the Fourier transform is detected ...
J.N. Cederquist   +4 more
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