An Improved Gaussian Mixture CKF Algorithm under Non‐Gaussian Observation Noise
H Wang, C Li - Discrete Dynamics in Nature and Society, 2016 - Wiley Online Library
In order to solve the problems that the weight of Gaussian components of Gaussian mixture
filter remains constant during the time update stage, an improved Gaussian Mixture …
filter remains constant during the time update stage, an improved Gaussian Mixture …
Suboptimal fading square root cubature Kalman filter based navigation algorithm of UUV
W Hongjian, L Cun - The 27th Chinese Control and Decision …, 2015 - ieeexplore.ieee.org
In order to solve the large computing cost and numerical instabilities of autonomous
navigation of Unmanned underwater vehicle (UUV). A suboptimal fading square-root …
navigation of Unmanned underwater vehicle (UUV). A suboptimal fading square-root …
[PDF][PDF] Reliability improvement of sensors used in personal navigation devices
A Dhital - 2015 - Citeseer
Along with advancements in microelectromechanical system (MEMS) technology, many
modern personal navigation devices incorporate measurements from various sensors …
modern personal navigation devices incorporate measurements from various sensors …
Cooperative Vehicle Sensing and Obstacle Avoidance for Intelligent Driving Based on Bayesian Frameworks
Y Ma, T Zhang, X Tian - … , Signal Processing, and Systems: Proceedings of …, 2019 - Springer
Abstract Vehicular Adhoc Networks (VANET) based vehicle sensing and obstacle avoidance
is of importance and widely addressed in intelligent driving. Due to the difficulties in the data …
is of importance and widely addressed in intelligent driving. Due to the difficulties in the data …
面向机动目标的分布式弹群在线协同定位方法
傅晋博， 张栋， 赵军民， 王庭晖 - 北京航空航天大学学报, 2022 - bhxb.buaa.edu.cn
机动目标的高精度协同定位是协同打击的关键, 通过分布式弹群来实现协同定位是目前研究的
热点. 提出了一种分布式弹群在线协同定位的策略, 解决弹群通信受限条件下协同定位的实时性 …
热点. 提出了一种分布式弹群在线协同定位的策略, 解决弹群通信受限条件下协同定位的实时性 …
[PDF][PDF] Analysis of bayesian filters for position estimation in ultra-wideband localization systems
In this paper we study the performance of various algorithms for a nonlinear system with an
unknown probabilistic model. We evaluate algorithms based on the Bayesian statistical …
unknown probabilistic model. We evaluate algorithms based on the Bayesian statistical …
An Efficient Adaptive Weights Update Scheme for a Gaussian Mixture Filter
L Cun - 2021 33rd Chinese Control and Decision Conference …, 2021 - ieeexplore.ieee.org
This paper proposes an adaptive weight update scheme of the Gaussian components for the
Gaussian mixture filter in the time update stage. This method contributes to obtaining a …
Gaussian mixture filter in the time update stage. This method contributes to obtaining a …
Ultra-wideband based dynamic target tracking using Cost-Reference Particle Filtering
In this paper, we assess the performance of a sequential Monte Carlo based filter called
Cost-Reference Particle Filter (CRPF) in comparison to Extended Kalman Filter (EKF) and …
Cost-Reference Particle Filter (CRPF) in comparison to Extended Kalman Filter (EKF) and …
[PDF][PDF] Fusión Sensórica INS/GPS para Navegación en Plataformas Móviles.
AMC Pescador - 2013 - core.ac.uk
El siguiente trabajo se enfoca en el estudio y validación de un sistema de navegación
integrado INS/GPS (Inertial Navigation System/Global Positioning System) mediante …
integrado INS/GPS (Inertial Navigation System/Global Positioning System) mediante …
Fusión Sensórica INS/GPS para navegación en plataformas móviles
AM Castro Pescador - 2013 - repository.unimilitar.edu.co
El siguiente trabajo se enfoca en el estudio y validación de un sistema de navegación
integrado INS/GPS (Inertial Navigation System/Global Positioning System) mediante …
integrado INS/GPS (Inertial Navigation System/Global Positioning System) mediante …