Results 31 to 40 of about 701,584 (283)
Generalized Maximum Correntropy Kalman Filter for Target Tracking in TianGong-2 Space Laboratory
Space: Science & Technology, 2022 Target tracking plays an important role in the construction, operation, and maintenance of the space station by the robot, which puts forward high requirements on the accuracy of target tracking.
Yang Mo +5 more
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A Coordinate System for Gaussian Networks [PDF]
, 2010 This paper studies network information theory problems where the external noise is Gaussian distributed. In particular, the Gaussian broadcast channel with coherent fading and the Gaussian interference channel are investigated.
Abbe, Emmanuel, Zheng, Lizhong
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Data analysis strategies for the detection of gravitational waves in non-Gaussian noise [PDF]
, 1999 In order to analyze data produced by the kilometer-scale gravitational wave detectors that will begin operation early next century, one needs to develop robust statistical tools capable of extracting weak signals from the detector noise.
A. Abramovici +7 more
core +3 more sources
Underwater surveillance in non-Gaussian noisy environment
Measurement + Control, 2020 The aim of this paper is to evaluate the performance of different filtering algorithms in the presence of non-Gaussian noise environment for tracking underwater targets, using Doppler frequency and bearing measurements.
B Omkar Lakshmi Jagan, S Koteswara Rao
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Trispectrum reconstruction of non-Gaussian noise [PDF]
Physical Review B, 2019 13 pages, 7 ...
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Phase tracking for sub-shot-noise-limited receivers
Physical Review Research, 2020 Nonconventional receivers for phase-coherent states based on non-Gaussian measurements such as photon counting surpass the sensitivity limits of shot-noise-limited coherent receivers, the quantum noise limit (QNL). These non-Gaussian receivers can have a
M. T. DiMario, F. E. Becerra
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Journal of Marine Science and Engineering, 2022 Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non ...
Tianjing Wang, Lanyong Zhang, Sheng Liu
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Parameter estimation in non-Gaussian noise [PDF]
Geophysical Journal International, 1988 SUMMARY Least squares (LS) estimation of model parameters is widely used in geophysics. If the data errors are Gaussian and independent the LS estimators will be maximum likelihood (ML) estimators and will be unbiased and of minimum variance. However, if the noise is not Gaussian, e.g.
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Minimal Model of Stochastic Athermal Systems: Origin of Non-Gaussian Noise [PDF]
, 2015 For a wide class of stochastic athermal systems, we derive Langevin-like equations driven by non-Gaussian noise, starting from master equations and developing a new asymptotic expansion.
Hayakawa, Hisao +3 more
core +2 more sources
IEEE AccessThe Gaussian sum extended Kalman filter (GSEKF), as a nonlinear non-Gaussian filter, disregards the impact of colored noise components in non-Gaussian noise engendered by external interference, which may compromise the estimation accuracy in global ...
Qing Dai +3 more
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