Maximum correntropy smoothers based on information theoretic learning in non-Gaussian environments
Non-Gaussian noise processing is difficult in dynamics systems, and smoothing plays an important role for state estimation. As an optimization criterion in information theoretic learning, the maximum correntropy has been recently applied to filtering ...
Minrui Fei (749817) +4 more
core
Interacting Multiple Model Filter with a Maximum Correntropy Criterion for GPS Navigation Processing
In order to deal with the uncertainty of measurement noise, particularly for outlier types of multipath interference and non-line of sight (NLOS) reception, this paper proposes a novel method for processing the navigation states of the Global Positioning
Dah-Jing Jwo, Yi Chang, Jen-Hsien Lai
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Aiming at the challenges of strong ground clutter interference, low signal-to-noise ratio, and near-field non-stationary signals in detecting low, slow, and small (LSS) targets in low-altitude environments, this paper proposes a joint parameter ...
Li Li, Tianshuang Qiu
doaj +1 more source
Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise. [PDF]
Leite GR, Araújo ÍBQ, Martins AM.
europepmc +1 more source
Maximum Correntropy Extended Kalman Filtering with Nonlinear Regression Technique for GPS Navigation
One technique that is widely used in various fields, including nonlinear target tracking, is the extended Kalman filter (EKF). The well-known minimum mean square error (MMSE) criterion, which performs magnificently under the assumption of Gaussian noise,
Amita Biswal, Dah-Jing Jwo
doaj +1 more source
An Accurate and Robust Gaze Estimation Method Based on Maximum Correntropy Criterion
Accurately estimating the user's gaze is important in many applications, such as human-computer interaction. Due to great convenience, appearance-based methods for gaze estimation have been a popular subject of research for many years.
Ben Yang +4 more
doaj +1 more source
Method of individual communication transmitter identification based on maximum correntropy
To measure the similarity between the fine features of communication transmitters, a method of individual communication transmitter identification based on maximum correntropy was put forward.
Zhe TANG, Ying-ke LEI
doaj +2 more sources
Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion
Oscillator output generally has phase noise causing the output power spectral density (PSD) to disperse around a Dirac delta function. In this paper, the AWGN channel is considered, where the sent signal accompanying with phase noise is added to the ...
Hodtani, Ghosheh Abed, Alizadeh, Amir
core
Maximum versoria criterion-based robust adaptive filtering algorithm
Using the generalized Gaussian probability density function (GPDF) as the kernel, a generalized correntropy has been proposed. And then a generalized maximum correntropy criterion (GMCC) algorithm is developed by maximizing the generalized correntropy ...
Zhang, Sheng (R18909) +2 more
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Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation
A new algorithm called maximum correntropy unscented Kalman filter (MCUKF) is proposed and applied to relative state estimation in space communication networks.
Pengcheng Yue +4 more
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