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Cramér–Rao Lower Bound for Magnetic Field Localization around Elementary Structures [PDF]
SensorsThe determination of a mobile terminal’s position with high accuracy and ubiquitous coverage is still challenging. Global satellite navigation systems (GNSSs) provide sufficient accuracy in areas with a clear view to the sky. For GNSS-denied environments
Armin Dammann +2 more
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Cramer–Rao Lower Bound for SoOp-R-Based Root-Zone Soil Moisture Remote Sensing [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Signals of opportunity (SoOp) reflectometry (SoOp-R) is a maturing field for geophysical remote sensing as evidenced by the growing number of airborne and spaceborne experiments.
Dylan Ray Boyd +7 more
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Estimation of the Measurement Accuracy of Wireless Passive Resonance Sensors [PDF]
SensorsResonators are passive devices that respond to an excitation signal by oscillating at their natural frequency with exponentially decreasing amplitudes. Physical, chemical and electrical variables can modify the natural frequencies of resonators.
Leonhard M. Reindl +5 more
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Localization and ambiguity resolution algorithm for time-difference fusion of three satellites based on observation filtering [PDF]
Scientific ReportsTo address the issues of low accuracy and time-difference ambiguity in the localization and tracking of multiple satellites, we have conducted a thorough study of the localization algorithm and the ambiguity resolution algorithm for the time-difference ...
Yanli Zhang +5 more
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Entropy, 2023 The variational Bayesian method solves nonlinear estimation problems by iteratively computing the integral of the marginal density. Many researchers have demonstrated the fact its performance depends on the linear approximation in the computation of the ...
Yumei Hu +5 more
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IET Signal Processing, 2021 Joint Cramér‐Rao lower bound (JCRLB) is very useful for the performance evaluation of joint state and parameter estimation (JSPE) of non‐linear systems, in which the current measurement only depends on the current state.
Xianqing Li +2 more
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Malliavin calculus in statistical inference: Cramer-Rao lower bound for fuzzy random variables [PDF]
تصمیم گیری و تحقیق در عملیات, 2020 The Cramer-Rao lower bound is obtained by using integration by parts and the Cauchy-Schwarz inequality. The integration by parts formulas of Malliavin calculus plays a role in this study. The point estimation problem is very crucial and has a wide range
Hossein Jafari, Mohammad Javad Ebadi
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Cramér-Rao Lower Bound for Fuzzy-Valued Random Variables
Austrian Journal of Statistics, 2016 In some point estimation problems, we may confront imprecise (fuzzy) concepts. One important case is a situation where all observations are fuzzy rather than crisp.
Hamzeh Torabi
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Cramér–Rao lower bound for ATSC signal‐based passive radar systems
Electronics Letters, 2019 In multistatic passive radar systems, the Cramér–Rao lower bound (CRLB) can be used to select the optimal illuminator of opportunity so that it provides the best estimation accuracy for target parameters.
M. Alslaimy, G.E. Smith
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Cramér-Rao Lower Bound of Target Localization Method Based on TOA Measurements
Xibei 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 ...
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