Results 31 to 40 of about 15,890,225 (198)
Distributed Robust Cubature Information Filtering for Measurement Outliers in Wireless Sensor Networks [PDF]
IEEE Access, 2020 في شبكات الاستشعار اللاسلكية (WSN)، تتلف القياسات دائمًا بسبب القيم المتطرفة أو الضوضاء الاندفاعية. تم تأسيس تصفية معلومات التكعيب (CIF) بناءً على معيار الحد الأدنى لمتوسط الخطأ المربع (MMSE)، والذي لا ينطبق على الضوضاء غير الغاوسية. وبالتالي، يتم اشتقاق CIF قوي جديد (RCIF) على أساس الحد الأقصى لمعيار correntropy (MCC) لتعزيز متانة تقدير الحالة في ...
Jiahao Zhang 0004 +5 more
openaire +3 more sources
Application of Cubature Information Filter for Underwater Target Path Estimation
Pertanika Journal of Science and Technology, 2021 Bearings-only tracking plays a pivotal role in passive underwater surveillance. Using noisy sonar bearing measurements, the target motion parameters (TMP) are extensively estimated using the extended Kalman filter (EKF) because of its simplicity and low computational load.
Guduru Naga Divya +1 more
openaire +1 more source
Micromachines, 2023 With the development of location-based service (LBS), indoor positioning based on pedestrian dead reckoning (PDR) has become a hot research topic. Smartphones are becoming more popular for indoor positioning.
Jijun Geng +3 more
doaj +1 more source
IEEE Access, 2019 This paper proposes a hybrid consensus-based square-root cubature information filter for target tracking in camera networks in the case that the process and measurement noises are correlated with each other at the same time. To the best of our knowledge,
Yanming Chen, Jiahui Wang
doaj +1 more source
International Journal of Distributed Sensor Networks, 2019 To handle nonlinear filtering problems with networked sensors in a distributed manner, a novel distributed hybrid consensus–based square-root cubature quadrature information filter is proposed.
Jun Liu +5 more
doaj +1 more source
Cubature H∞ information filter and its extensions
European Journal of Control, 2016 Abstract State estimation for nonlinear systems with Gaussian or non-Gaussian noises, and with single and multiple sensors, is presented. The key purpose is to propose a derivative free estimator using concepts from the information filter, the H ∞ filter, and the cubature Kalman filter (CKF). The proposed estimator is called the cubature
Kumar Pakki Bharani Chandra +2 more
openaire +3 more sources
DVL-Aided SINS In-Motion Alignment Filter Based on a Novel Nonlinear Attitude Error Model
IEEE Access, 2019 A novel nonlinear attitude error model based on square root cubature information filter (SR-CIF) is proposed aiming to speed up the convergence rate of DVL-aided strapdown inertial navigation system (SINS) in-motion initial alignment for autonomous ...
Lu Zhang +3 more
doaj +1 more source
Cubature H∞ information filter and its extensions
, 2016 \ua9 2016 European Control Association. Published by Elsevier Ltd. All rights reserved. State estimation for nonlinear systems with Gaussian or non-Gaussian noises, and with single and multiple sensors, is presented.
Chandra KPB, Gu D-W, Postlethwaite I
core +4 more sources
Adaptive Robust Cubature Kalman Filter for Power System Dynamic State Estimation Against Outliers
IEEE Access, 2019 This paper develops an adaptive robust cubature Kalman filter (ARCKF) that is able to mitigate the adverse effects of the innovation and observation outliers while filtering out the system and measurement noises.
Yi Wang +4 more
doaj +1 more source
Python wrapper for Cubature: adaptive multidimensional integration
, 2021 Maintenance updates: Python 3.9 added Based on Steven Johnson`s v1.0.4 (https://github.com/stevengj/cubature/releases/tag/v1.0.4). Cite this version of the Python wrapper for cubature as: Castro, S.G.P.; Loukianov, A.; et al.
quantumAnsatz +7 more
core +1 more source