Cargando…

Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking

Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems. When the number of targets is large, the amount of computation increas...

Descripción completa

Detalles Bibliográficos
Autores principales:	Tao, Jin, Jiang, Defu, Yang, Jialin, Zhang, Chao, Wang, Song, Han, Yan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323521/ https://www.ncbi.nlm.nih.gov/pubmed/35891019 http://dx.doi.org/10.3390/s22145339

Ejemplares similares

A Labeled GM-PHD Filter for Explicitly Tracking Multiple Targets †
por: Gao, Yiyue, et al.
Publicado: (2021)

Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering
por: Zhang, Qian, et al.
Publicado: (2016)

Time-Matching Random Finite Set-Based Filter for Radar Multi-Target Tracking
por: Jiang, Defu, et al.
Publicado: (2018)

Extended Emitter Target Tracking Using GM-PHD Filter
por: Zhu, Youqing, et al.
Publicado: (2014)

Multisensor Multi-Target Tracking Based on GM-PHD Using Out-Of-Sequence Measurements
por: Liu, Meiqin, et al.
Publicado: (2019)

Cooperative Localization for Multi-AUVs Based on GM-PHD Filters and Information Entropy Theory
por: Zhang, Lichuan, et al.
Publicado: (2017)

Refined PHD Filter for Multi-Target Tracking under Low Detection Probability
por: Wang, Sen, et al.
Publicado: (2019)

Multi-Target State Extraction for the SMC-PHD Filter
por: Si, Weijian, et al.
Publicado: (2016)

Tracking Multiple Video Targets with an Improved GM-PHD Tracker
por: Zhou, Xiaolong, et al.
Publicado: (2015)

An Unbalanced Weighted Sequential Fusing Multi-Sensor GM-PHD Algorithm
por: Shen-Tu, Han, et al.
Publicado: (2019)

Cubature Information SMC-PHD for Multi-Target Tracking
por: Liu, Zhe, et al.
Publicado: (2016)

A Robust SMC-PHD Filter for Multi-Target Tracking with Unknown Heavy-Tailed Measurement Noise
por: Gong, Yang, et al.
Publicado: (2021)

Label GM-PHD Filter Based on Threshold Separation Clustering
por: Wang, Kuiwu, et al.
Publicado: (2021)

Multi-Feature Single Target Robust Tracking Fused with Particle Filter
por: Liu, Caihong, et al.
Publicado: (2022)

Kalman filtering techniques for radar tracking
por: Ramachandra, K V
Publicado: (2000)

Anti-Clutter Gaussian Inverse Wishart PHD Filter for Extended Target Tracking
por: Huang, Yuan, et al.
Publicado: (2019)

An Efficient Multi-Path Multitarget Tracking Algorithm for Over-The-Horizon Radar †
por: Huang, Yuan, et al.
Publicado: (2019)

Three-Dimensional Multi-Target Tracking Using Dual-Orthogonal Baseline Interferometric Radar
por: Ishtiaq, Saima, et al.
Publicado: (2022)

Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate
por: Yuan, Changshun, et al.
Publicado: (2015)

Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods
por: Hoak, Anthony, et al.
Publicado: (2017)

Multi-Object Tracking with Correlation Filter for Autonomous Vehicle
por: Zhao, Dawei, et al.
Publicado: (2018)

Multi-Target Angle Tracking Algorithm for Bistatic MIMO Radar Based on the Elements of the Covariance Matrix
por: Zhang, Zhengyan, et al.
Publicado: (2018)

Continuous Radar Tracking Illustrates the Development of Multi-destination Routes of Bumblebees
por: Woodgate, Joseph L., et al.
Publicado: (2017)

An Experimental Multi-Target Tracking of AM Radio-Based Passive Bistatic Radar System via Multi-Static Doppler Shifts
por: Zhou, Xueqin, et al.
Publicado: (2021)

Multi-Target Tracking Using an Improved Gaussian Mixture CPHD Filter
por: Si, Weijian, et al.
Publicado: (2016)

PHD Filter for Object Tracking in Road Traffic Applications Considering Varying Detectability
por: Törő, Olivér, et al.
Publicado: (2021)

Research on a Face Real-time Tracking Algorithm Based on Particle Filter Multi-Feature Fusion
por: Wang, Tao, et al.
Publicado: (2019)

Strong Tracking PHD Filter Based on Variational Bayesian with Inaccurate Process and Measurement Noise Covariance
por: Hu, Zhentao, et al.
Publicado: (2021)

An Improved Unscented Particle Filter Approach for Multi-Sensor Fusion Target Tracking
por: Luo, Junhai, et al.
Publicado: (2020)

Improved GGIW-PHD filter for maneuvering non-ellipsoidal extended targets or group targets tracking based on sub-random matrices
por: Liang, Zhibing, et al.
Publicado: (2018)

Marine Oil Slick Detection Based on Multi-Polarimetric Features Matching Method Using Polarimetric Synthetic Aperture Radar Data
por: Li, Guannan, et al.
Publicado: (2019)

Joint Dwell Time and Bandwidth Optimization for Multi-Target Tracking in Radar Network Based on Low Probability of Intercept
por: Ding, Lintao, et al.
Publicado: (2020)

Cost-Reference Particle Filter for Cognitive Radar Tracking Systems with Unknown Statistics
por: Zhong, Lei, et al.
Publicado: (2020)

Clustered Multi-Task Learning for Automatic Radar Target Recognition
por: Li, Cong, et al.
Publicado: (2017)

Adaptive Collaborative Gaussian Mixture Probability Hypothesis Density Filter for Multi-Target Tracking
por: Yang, Feng, et al.
Publicado: (2016)

A Student’s t Mixture Probability Hypothesis Density Filter for Multi-Target Tracking with Outliers
por: Liu, Zhuowei, et al.
Publicado: (2018)

Finite Impulse Response Filter-Based Track Formation for Preceding Vehicle Tracking Using Automotive Radars
por: Pak, Jung Min
Publicado: (2022)

Multi-Target Joint Detection; Tracking and Classification Based on Marginal GLMB Filter and Belief Function Theory
por: Liang, Jun, et al.
Publicado: (2020)

Antenna Allocation in MIMO Radar with Widely Separated Antennas for Multi-Target Detection
por: Gao, Hao, et al.
Publicado: (2014)

Multiple Target Tracking Based on Multiple Hypotheses Tracking and Modified Ensemble Kalman Filter in Multi-Sensor Fusion
por: Zhang, Zequn, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_lh5s2psprdgn34u8v5aovuku6o