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Multi-Sensor Fusion with Interacting Multiple Model Filter for Improved Aircraft Position Accuracy [PDF]

open access: yesSensors, 2013
The International Civil Aviation Organization (ICAO) has decided to adopt Communications, Navigation, and Surveillance/Air Traffic Management (CNS/ATM) as the 21st century standard for navigation.
Changho Lee, Taehwan Cho, Sangbang Choi
doaj   +2 more sources

Interacting Multiple Model Algorithm with the Unscented Particle Filter (UPF)

open access: yesChinese Journal of Aeronautics, 2005
Combining interacting multiple model (IMM) and unscented particle filter (UPF), a new multiple model filtering algorithm is presented. Multiple models can be adapted to targets' high maneuvering.
Xiao-long DENG   +5 more
core   +2 more sources

Flight Trajectory Prediction Based on Automatic Dependent Surveillance-Broadcast Data Fusion with Interacting Multiple Model and Informer Framework [PDF]

open access: yesSensors
Aircraft trajectory prediction is challenging because of the flight process with uncertain kinematic motion and varying dynamics, which is characterized by intricate temporal dependencies of the flight surveillance data. To address these challenges, this
Fan Li   +4 more
doaj   +2 more sources

Information Decorrelation for an Interacting Multiple Model Filter

open access: yes2018 21st International Conference on Information Fusion (FUSION), 2018
In a sensor network compensation of the correlated information caused by previous communication is of utmost interest for distributed estimation. In this paper, we investigate different information decorrelation approaches that can be applied when using ...
Acar, Duygu, Orguner, Umut
core   +2 more sources

Improved interacting multiple model algorithm airport surface target tracking based on geomagnetic sensors

open access: yesInternational Journal of Distributed Sensor Networks, 2020
To avoid the inherent defects of current airport surface surveillance systems, a distributed non-cooperative surface surveillance scheme based on geomagnetic sensor technology is proposed in this article.
Xinmin Tang, Wenjie Zhao, Shangfeng Gao
doaj   +2 more sources

A Novel Robust Interacting Multiple Model Algorithm for Maneuvering Target Tracking

open access: yesAdvances in Electrical and Computer Engineering, 2017
In this paper, the state estimation problem for discrete-time jump Markov systems is considered. A minimax filtering technique, interacting multiple model algorithm based on game theory, is developed for discrete-time stochastic systems.
GHAZAL, M., DOUSTMOHAMMADI, A.
doaj   +2 more sources

Intention inference‐based interacting multiple model estimator in photoelectric tracking

open access: yesIET Control Theory & Applications
Aiming to improve the estimation and prediction accuracy of a target's position, this paper proposes a state estimation method for photoelectric tracking systems, based on the evaluation of the tracked target's motion intention. Traditional photoelectric
Minxing Sun   +5 more
doaj   +2 more sources

Adaptive Variable Structure Interacting Multiple Model Tracking Algorithm for Hypersonic Glide Vehicle

open access: yesJournal of Aerospace Technology and Management
During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single-model tracking and the slow response of multi-model ...
Zhumu Fu   +3 more
doaj   +2 more sources

Improved Interacting Multiple Model Particle Filter Algorithm [PDF]

open access: yesXibei Gongye Daxue Xuebao, 2018
For the issue of limited filtering accuracy of interactive multiple model particle filter algorithm caused by the resampling particles don't contain the latest observation information, we made improvements on interactive multiple model particle filter ...

doaj   +1 more source

Adaptive IMM-UKF for Airborne Tracking

open access: yesAerospace, 2023
In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF.
Alvaro Arroyo Cebeira   +1 more
doaj   +1 more source

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