Results 21 to 30 of about 224,032 (261)
Edge estimation method for non-uniform envelope pulse based on instantaneous frequency
The Journal of Engineering, 2019 Pulse edge estimation has always been an important issue in the field of electronic reconnaissance. Here, for the unknown received pulse with non-uniform envelope, a novel pulse edge estimation method based on instantaneous frequency is proposed.
Jingyun Sun, Jiacen Xu, Lixiang Ren
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Formulation of the Alpha Sliding Innovation Filter: A Robust Linear Estimation Strategy
Sensors, 2022 In this paper, a new filter referred to as the alpha sliding innovation filter (ASIF) is presented. The sliding innovation filter (SIF) is a newly developed estimation strategy that uses innovation or measurement error as a switching hyperplane.
Mohammad AlShabi, Stephen Andrew Gadsden
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Unbiased converted measurement manoeuvering target tracking under maximum correntropy criterion
Cognitive Computation and Systems, 2020 In this study, the manoeuvering target tracking problem is addressed by using the unbiased converted measurements from a two-dimensional radar system.
Guoyong Wang, Xiaoliang Feng
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IET Radar, Sonar & Navigation, 2023 Radar enables a convenient, contactless way for gait analysis in daily scenarios, such as in‐home health monitoring. However, the overlapping of human limb components could occur in both range and velocity dimensions of the radar echo, which makes it ...
Tong Mao +4 more
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The Theory of Unbiased Estimation
The Annals of Mathematical Statistics, 1946 Summary: Let \(F(P)\) be a real valued function defined on a subset \(\mathcal{D}\) of the set \(\mathcal{D}^\ast\) of all probability distributions on the real line. A function \(f\) of \(n\) real variables is an unbiased estimate of \(F\) if for every system, \(X_1, \dots, X_n\), of independent random variables with the common distribution \(P\), the
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Theory of Estimation-of-Distribution Algorithms [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2019 This is a preliminary version of a chapter in the upcoming book "Theory of Randomized Search Heuristics in Discrete Search Spaces", edited by Benjamin Doerr and Frank Neumann, to be published by ...
Martin S. Krejca, Carsten Witt
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On the Theory of Ban Estimates
The Annals of Mathematical Statistics, 1959 The notion of best asymptotically normal estimates--BAN estimates for short--was introduced by Neyman [8] in the multinomial case. Applications have been made in biological problems, notably in bio-assay [2], [4], [5]. Generalizations of Neyman's work have been made by Barankin and Gurland [1], Chiang [3] and Ferguson [5].
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Contribution to the Theory of Pitman Estimators [PDF]
Journal of Mathematical Sciences, 2014 New inequalities are proved for the variance of the Pitman estimators (minimum variance equivariant estimators) of θconstructed from samples of fixed size from populations F(x-θ). The inequalities are closely related to the classical Stam inequality for the Fisher information, its analog in small samples, and a powerful variance drop inequality.
Kagan, A. M. +3 more
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Cramér–Rao Lower Bound for Magnetic Field Localization around Elementary Structures
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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The Journal of Engineering, 2019 Baseline is the key factor for highly accuracy terrain elevation measurement in InSAR system. Variation of baseline attitude induced by aircraft's unstable motion leads to phase errors varying along the aperture.
Yue Wang +4 more
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