Results 11 to 20 of about 3,368,666 (282)
High maneuvering target tracking ATPM-IMM algorithm [PDF]
Tongxin xuebao, 2022 For high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update ...
Hao ZENG, Wangqiang MU, Shunping YANG
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Mobility Tracking in Cellular Networks Using Particle Filtering. [PDF]
, 2007 Mobility tracking based on data from wireless cellular networks is a key challenge that has been recently investigated both from a theoretical and practical point of view.
Mihaylova, L +14 more
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Mobility Tracking in Cellular Networks with Sequential Monte Carlo Filters [PDF]
, 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.
Angelova, D. +3 more
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A PCR-BIMM filter for maneuvering target tracking [PDF]
2010 13th International Conference on Information Fusion, 2010 In this paper we show how to correct and improve the Belief Interacting Multiple Model filter (BIMM) proposed in 2009 by Nassreddine et al. for tracking maneuvering targets.
Jean Dezert, Benjamin Pannetier
openaire +4 more sources
Sequential Monte Carlo algorithms for joint target tracking and classification using kinematic radar information [PDF]
, 2004 This paper considers the problem of joint maneuvering target tracking and classification. Based on recently proposed Monte Carlo techniques, a multiple model (MM) particle filter and a mixture Kalman filter (MKF) are designed for two-class identification
Angelova, Donka, Mihaylova, L.
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A pseudo linear Kalman filtering algorithm for bearings-only maneuvering target tracking [PDF]
Zhihui kongzhi yu fangzhenA 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
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Sensors, 2022 Considering the influence of measurement error on target state estimation, there is an uncertain dispersion region for target position estimate, that is, the area of uncertainty (AOU, area of uncertainty).
Shasha Ma +4 more
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Journal 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
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IEEE 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
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Unscented Particle Filter Algorithm Based on Divide-and-Conquer Sampling for Target Tracking
Sensors, 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
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