Results 171 to 180 of about 19,071 (209)

Development of Extended MVEM based UKF estimators

2011 Annual IEEE India Conference, 2011
Mean Value Engine Models (MVEM) have been used to model the averaged dynamics of an automobile engine system for automotive control and fault diagnosis. For these purposes, it is common to estimate states of interest given noisy measurements using state observers.
Jonathan Vasu, A. K. Deb, S. Mukhopadhyay   +2 more
openaire   +1 more source

UKF-Based Image Filtering and 3D Reconstruction

2019
In the global world of robotics, robots have missions to achieve interactively with human environments and online learning. Practically, for null error of a robot’s achievement, robotics systems should be provided with minimal certain information in advance. This is crucial for any high-performance robotics systems.
Abdulkader Joukhadar, Dalia Kass Hanna, Etezaz Abo Al-Izam   +2 more
openaire   +1 more source

ANFIS Based UKF-SLAM Path Planning Method

2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019
Reducing error in each step of robot motion is one of the important issue in the Simultaneous Localization and Mapping algorithms. Hence, an accurate estimation method can enhance the behavior of the SLAM algorithm in the unknown environment. A hybrid estimation method is presented in this work which is consisted of ANFIS with Unscented Kalman Filter ...
Salman Sahib M. Gharib, Parvaneh Esmaili
openaire   +1 more source

Nonlinear Target Identification and Tracking Using UKF

2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
In this paper, we implemented target identification algorithm using Dempster Shafer theory (DST) and tracking algorithm using extended Kalman filter (EKF) and unscented Kalman filter (UKF). A tracking filter is developed and simulated based on UKF to track nonlinear, ballistic and reentry targets.
KHAIRNAR, DG, NANDAKUMAR, S, MERCHANT, SN, DESAI, UB   +3 more
openaire   +2 more sources

UKF Fusion Estimation for Indoor RFID Tracking

Applied Mechanics and Materials, 2013
Radio frequency identification (RFID) can effectively get the accurate location information for indoor tracking system. The readers cant be placed at any position in the practical system. the reader would be more intensive at some places, where will obtain measurements from several readers, while the reader will be placed less at others place, where ...
openaire   +1 more source

Performance Analysis of UKF for Nonlinear Problems

2009 Third International Symposium on Intelligent Information Technology Application, 2009
Unscented Kalman filter (UKF) is a class of nonlinear filtering methods based on unscented transform within the Kalman filter framework. It is in light of the intuition that to approximate a probability distribution by a set of deterministic samples is easier than to approximate an arbitrary nonlinear transform.
Guanglin Li, Fuming Sun, Na Cheng
openaire   +1 more source

An adaptive UKF with noise statistic estimator

2009 4th IEEE Conference on Industrial Electronics and Applications, 2009
The normal unscented Kalman filter (UKF) suffers from performance degradation and even divergence while mismatch between the noise distribution assumed to be known as a priori by UKF and the true ones in a real system. In order to improve the performance of the UKF with uncertain or timevarying noise statistic, a novel adaptive UKF with noise statistic
null Lin Zhao, null Xiaoxu Wang
openaire   +1 more source

Effective fault diagnosis based on strong tracking UKF

Aircraft Engineering and Aerospace Technology, 2011
PurposeThe purpose of this paper is to address the flaws of traditional methods and fulfil the special fault‐tolerant re‐entry navigation requirements of reusable boost vehicle (RBV).Design/methodology/approachA kind of improved estimation method based on strong tracking unscented Kalman filter (STUKF) is put forward.
Pengxin Han, Rongjun Mu, Naigang Cui
openaire   +1 more source

A heuristic for sigma set selection of UKF

2014 12th International Conference on Signal Processing (ICSP), 2014
In this paper we present a higher order moment-matching algorithm for computing the distribution parameters of nonlinear transformation random variables. The new algorithm has two distinct aspects compared to the standard Unscented Kalman Filter (UKF).
Yujin Wang, Jiang Liu, Wenqiang Yang, Ju Zhang   +3 more
openaire   +1 more source

PF-UKF-RJMCMC Approaches for Radar Target-Tracking

2009 International Conference on Information Technology and Computer Science, 2009
Nonlinear problem of maneuvering target is a hot and difficult topic in radar target tracking fielding. This paper outline the the pros and cons of non-linear filtering methods nowdays, emphatically analyses uncertainty sampling and random sampling method, describe Markov chain Monte Carlo algorithms, along with Reversible Jump ratio improving methods.
Zhao Huibo, Pan Quan
openaire   +1 more source