Results 31 to 40 of about 197,668 (326)

A pseudo linear Kalman filtering algorithm for bearings-only maneuvering target tracking [PDF]

open access: yesZhihui kongzhi yu fangzhen
A modified range parameterized instrumental variable pseudo linear Kalman filter (MRP-IVPLKF) algorithm is proposed for single station bearings-only ground maneuvering target tracking. Firstly, based on the detection range of the observation station, the
LIU Xinan, WU Panlong, BO Yuming
doaj   +1 more source

A Novel Robust IMM Filtering Method for Surface-Maneuvering Target Tracking with Random Measurement Delay

open access: yesJournal of Marine Science and Engineering, 2023
A proper filtering method for jump Markov system (JMS) is an effective approach for tracking a maneuvering target. Since the coexisting of heavy-tailed measurement noises (HTMNs) and one-step random measurement delay (OSRMD) in the complex scenarios of ...
Chen Chen, Weidong Zhou, Lina Gao
doaj   +1 more source

Mobility Tracking in Cellular Networks with Sequential Monte Carlo Filters [PDF]

open access: yes, 2005
This paper considers mobility tracking in wireless communication networks based on received signal strength indicator measurements. Mobility tracking involves on-line estimation of the position and speed of a mobile unit.
D. Bull   +11 more
core   +1 more source

A Variable-Diameter-Arc-Helix Radon Transform for Detecting a Near Space Hypersonic Maneuvering Target

open access: yesIEEE Access, 2019
For detection and tracking of a near space hypersonic maneuvering target in a heavy clutter environment, a novel transform domain method called Variable-Diameter-Arc-Helix Radon Transform (VDAH-RT) is proposed as a tool to integrate observations along ...
Wei Wu, Guohong Wang, Jinping Sun
doaj   +1 more source

Unscented Particle Filter Algorithm Based on Divide-and-Conquer Sampling for Target Tracking

open access: yesSensors, 2021
Unscented particle filter (UPF) struggles to completely cover the target state space when handling the maneuvering target tracing problem, and the tracking performance can be affected by the low sample diversity and algorithm redundancy.
Sichun Du, Qing Deng
doaj   +1 more source

Consensus Based Strong Tracking Adaptive Cubature Kalman Filtering for Nonlinear System Distributed Estimation

open access: yesIEEE Access, 2019
The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang   +5 more
doaj   +1 more source

A Novel Probabilistic Data Association for Target Tracking in a Cluttered Environment

open access: yesSensors, 2016
The problem of data association for target tracking in a cluttered environment is discussed. In order to improve the real-time processing and accuracy of target tracking, based on a probabilistic data association algorithm, a novel data association ...
Xiao Chen   +4 more
doaj   +1 more source

A Novel Method for Tracking Complex Maneuvering Star Convex Extended Targets Using Transformer Network

open access: yesLeida xuebao
To address the challenges in tracking complex maneuvering extended targets, an effective maneuvering extended target tracking method was proposed for irregularly shaped star-convex using a Transformer network.
Hui CHEN   +3 more
doaj   +1 more source

A jerk model for tracking highly maneuvering targets [PDF]

open access: yesIEEE Transactions on Aerospace and Electronic Systems, 1997
A model of target motion in three-dimensional space that includes position derivatives up to the third order is developed. Compared with available models, which include terms at the most up to the second derivative, the model introduced in this work, called the jerk model, can more accurately describe agile target maneuvers which are likely to contain ...
Mehrotra, Kishore, Mahapatra, Pravas R
openaire   +2 more sources

Kullback-Leibler approach to Gaussian mixture reduction [PDF]

open access: yes, 2007
A common problem in multi-target tracking is to approximate a Gaussian mixture by one containing fewer components; similar problems can arise in integrated navigation.
A.R. Runnalls, Runnalls, Andrew R.
core   +1 more source

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