Results 21 to 30 of about 4,245 (179)

Cramér-Rao Lower Bound of Target Localization Method Based on TOA Measurements

open access: yesXibei Gongye Daxue Xuebao, 2019
The Cramér-Rao bound of target localization method based on time-of-arrival measurements is analyzed. For the localization error analysis, the CRLB is derived under the assumptions that the measurement errors are independent and characterized by zero ...

doaj   +1 more source

The Cramér-Rao approach and global quantum estimation of bosonic states [PDF]

open access: yesQuantum
Quantum state estimation is a fundamental task in quantum information theory, where one estimates real parameters continuously embedded in a family of quantum states.
Masahito Hayashi, Yingkai Ouyang
doaj   +1 more source

Imaging arbitrary incoherent source distributions with near quantum-limited resolution

open access: yesScientific Reports, 2022
We demonstrate an approach to obtaining near quantum-limited far-field imaging resolution of incoherent sources with arbitrary distributions. Our method assumes no prior knowledge of the source distribution, but rather uses an adaptive approach to ...
Erik F. Matlin, Lucas J. Zipp
doaj   +1 more source

Entanglement-enhanced estimation of a parameter embedded in multiple phases

open access: yesPhysical Review Research, 2021
Quantum-enhanced sensing promises to improve the performance of sensing tasks using nonclassical probes and measurements that require far fewer scene-modulated photons than the best classical schemes, thereby granting previously inaccessible information ...
Michael R. Grace   +2 more
doaj   +1 more source

Dissipative adiabatic measurements: Beating the quantum Cramér-Rao bound

open access: yesPhysical Review Research, 2020
It is challenged only recently that the precision attainable in any measurement of a physical parameter is fundamentally limited by the quantum Cramér-Rao Bound (QCRB).
Da-Jian Zhang, Jiangbin Gong
doaj   +1 more source

Simultaneous orientation and 3D localization microscopy with a Vortex point spread function

open access: yesNature Communications, 2021
Molecular orientation is often ignored during single-molecule localisation microscopy. Here, the authors use a Vortex point spread function in order to simultaneously estimate the 3D position, dipole orientation and degree of rotational constraint ...
Christiaan N. Hulleman   +5 more
doaj   +1 more source

СRAMER-RAO AND BHATTACHARYYA BOUNDS FOR ACCURACY ESTIMATION OF SUB-PIXEL IMAGE CO-REGISTRATION

open access: yesРадіоелектронні і комп'ютерні системи, 2018
The subject matter of the article is theoretical lower bounds of parameter estimates applied to the problem of image co-registration. The goal is to study and compare the Cramer-Rao and Bhattacharyya bounds.
Виталий Анатольевич Душепа
doaj   +1 more source

Thinned Virtual Array for Cramer Rao Bound Optimization in MIMO Radar

open access: yesInternational Journal of Antennas and Propagation, 2021
By transmitting multiple independent waveforms at the transmit side and processing echoes of spatial targets at the receive side, Multiple Input Multiple Output (MIMO) radar enjoys virtual array aperture expansion and more degree of freedom (DOF), both ...
Xia Li, Buhong Wang
doaj   +1 more source

Cramer-Rao bounds for blind multichannel estimation [PDF]

open access: yesGlobecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137), 2002
Certain blind channel estimation techniques allow the identification of the channel up to a scale or phase factor. This results in singularity of the Fisher information matrix (FIM). The Cramer-Rao bound, which is the inverse of the FIM, is then not defined. To regularize the estimation problem, one can impose constraints on the parameters. In general,
Elisabeth de Carvalho   +2 more
openaire   +1 more source

Recursive algorithms for computing the Cramer-Rao bound [PDF]

open access: yesIEEE Transactions on Signal Processing, 1997
Computation of the Cramer-Rao bound (CRB) on estimator variance requires the inverse or the pseudo-inverse Fisher information matrix (FIM). Direct matrix inversion can be computationally intractable when the number of unknown parameters is large.
Hero, A. O.   +3 more
openaire   +2 more sources

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