Results 291 to 300 of about 197,668 (326)

A maneuvering target tracking based on fastIMM-extended Viterbi algorithm

Neural computing & applications (Print), 2023
Yi Di, Ruiheng Li, Hao Tian, Jianzhong Guo, Binghua Shi, Zheng-Sheng Wang, Ke Yan, Yueheng Liu   +7 more
semanticscholar   +1 more source

A Maneuvering Extended Target Tracking IMM Algorithm Based on Second-Order EKF

IEEE Transactions on Instrumentation and Measurement
Aiming at the problem of poor tracking performance of traditional filtering algorithms for maneuvering extended targets, an improved interactive multimodel second-order extended Kalman filter (IMM-SOEKF) algorithm is proposed in this article.
Shenghua Wang, Chenkai Men, Renxian Li, Tat-Soon Yeo   +3 more
semanticscholar   +1 more source

Maneuvering target tracking of underwater autonomous vehicles based on bearing-only measurements assisted by inequality constraints

Ocean Engineering, 2019
This paper addresses the problem of enabling a constant velocity observer to track a maneuvering target using inequality constraints. In this paper, an observer measures the bearing of sound emitted from the target at each time step.
Jonghoek Kim
semanticscholar   +1 more source

Multisensor tracking of a maneuvering target in clutter

IEEE Transactions on Aerospace and Electronic Systems, 1989
An algorithm is presented for tracking a highly maneuvering target using two different sensors, a radar and an infrared sensor, assumed to operate in a cluttered environment. The nonparametric probabilist data association filter (PDAF) has been adapted for the multisensor (MS) case, yielding the MSPDAF.
A. Houles, Y. Bar-Shalom
openaire   +1 more source

Application of AUV to Track a Maneuvering Target

2021
In this research work, a target maneuvering in its course is tracked using Aerial Unmanned Vehicle (AUV) in three-dimensional space making use of bearing angle, range, and elevation angle measurements. An Extended Kalman filtering algorithm is considered for processing noise altered measurements.
S. Koteswara Rao, Kausar Jahan
openaire   +1 more source

Maneuvering Target Tracking in the Presence of Glint

2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel, 2006
The problem of maneuvering target tracking in the presence of glint noise is addressed in this paper. The main challenge in this problem stems from its nonlinearity and non-Gaussianity. In this work, the nonlinear Gaussian mixture Kalman filter (NL-GMKF) is applied to the problem of maneuvering target tracking in the presence of glint. The algorithm is
I. Bilik, J. Tabrikian
openaire   +1 more source

Sequential Spatiotemporal Bias Compensation and Data Fusion for Maneuvering Target Tracking

IEEE Transactions on Aerospace and Electronic Systems, 2023
Shizhe Bu, Gongjian Zhou
semanticscholar   +1 more source

Multiple Maneuvering Target Tracking Using a Single Unmanned Aerial Vehicle

Journal of Guidance Control and Dynamics, 2019
This paper solves the problem of tracking multiple maneuvering ground targets using an unmanned aerial vehicle (UAV).
Chiyu Zhang, Inseok Hwang
semanticscholar   +1 more source

Maneuvering Target Tracking in the Case of Wakes

2009 2nd International Congress on Image and Signal Processing, 2009
An interacting multiple model probability data association method for tracking the wake target is presented. When the detections are fed to a tracking system like the Probabilistic Data Association Filter, the estimated track can be misled and sometimes lose the real target because of the wake.
Yuankui Liu, Yangyu Fan, Jiong Zhao
openaire   +1 more source

Unscented Fuzzy Tracking Algorithm for Maneuvering Target

2005
A novel adaptive algorithm for tracking maneuvering targets is proposed in this paper. The algorithm is implemented with fuzzy filtering and unscented transformation. A fuzzy system allows the filter to tune the magnitude of maximum accelerations to adapt to different target maneuvers.
Shiqiang Hu, Li-wei Guo, Zhongliang Jing
openaire   +1 more source