Results 41 to 50 of about 209 (123)
Indoor Positioning Algorithm Based on Maximum Correntropy Unscented Information Filter
In view of the fact that indoor positioning systems are usually affected by non-Gaussian noise in complex indoor environments, this paper tests the data in the actual scene and analyzes the distribution characteristics of noise, and proposes a new indoor
Li Ma +3 more
doaj +1 more source
This work addresses the issue of rejection delay due to DoS attacks triggered by historical measurements during the transmission of a large amount of measurement data in WECS‐based networked microgrids. We propose a novel robust SRCKF method, designated as MCC‐SRCKF, which incorporates MCC into the SRCKF structure of DSE.
Xiao Hu +4 more
wiley +1 more source
A Student's T Distribution‐Based Filter Design for SINS/GNSS With Heavy‐Tailed Noise
To reduce the affection of outliers caused by heavy‐tailed noise, the noise model is constructed by the Student's T distribution rather than the Gaussian distribution, and the related probability density functions (PDF) are adaptively modelled as student's T PDFs with different DoF parameters.
Menghao Qian, Wei Chen, Ruisheng Sun
wiley +1 more source
Robust rigid registration via maximum correntropy criterion: a novel approach
Point set registration is essential for computer vision, pattern recognition and intelligent robotics. Existing registration methods exhibit limited robustness against non-Gaussian noise, outliers and incomplete point clouds in complex engineering ...
Guiqiang Yang +3 more
doaj +1 more source
This work explores underwater TMA by incorporating time delay and Doppler frequency measurements along with angle data, eliminating the need for own‐ship manoeuvre and improving estimation accuracy in presence of non‐Gaussian sensor noise. Furthermore, since the own‐ship's position is inherently uncertain due to navigation errors, this work addresses ...
Rohit Kumar Singh +2 more
wiley +1 more source
In this paper, a novel robust particle filter is proposed to address the measurement outliers occurring in the multiple autonomous underwater vehicles (AUVs) based cooperative navigation (CN).
Ying Fan +4 more
doaj +1 more source
ℓ1${\ell }_1$ norm‐based recursive estimation for non‐linear systems with non‐Gaussian noises
This study presents the state estimation problem of discrete‐time nonlinear stochastic system with non‐Gaussian noise. To further improve estimation accuracy, a recursive nonlinear smoother is put forward on the basis of minimizing l1 norm of model errors.
Yuemei Qin, Jun Li, Shuying Li
wiley +1 more source
Abstract When some new‐type sensors are subjected electromagnetic interference (EMI), the traditional standard can no longer serve as the guidance for their EMI protection. Therefore, it is necessary to evaluate the complexity of the new sensing equipment's suffering from electromagnetic interference.
Wenchao Lu +5 more
wiley +1 more source
In urban canyon environments, the performance of global navigation satellite systems (GNSS) is severely degraded by multipath propagation, signal occlusion, and non-Gaussian measurement noise.
Dah-Jing Jwo +2 more
doaj +1 more source
Robust localisation methods based on modified skipped filter weighted least squares algorithm
Robust localisation techniques that utilise distance observations to determine the location are focused upon. The modified skipped filter WLS methods are proposed to reduce the squared estimation bias of transformed distance estimate. Abstract Robust localisation techniques that utilise distance observations to determine the location are focused upon ...
Chee‐Hyun Park, Joon‐Hyuk Chang
wiley +1 more source

