Article
Physics, Multidisciplinary
Xiaohua Li, Bo Lu, Wasiq Ali, Haiyan Jin
Summary: Passive sonar provides a covert advantage in tracking multiple underwater targets, but faces challenges such as data association uncertainty and acquiring targets' numbers and states. The CPHD recursion based on Bayesian information theory simultaneously estimates targets' intensity and the probability distribution of the number of targets to address these challenges effectively.
Article
Engineering, Aerospace
Stefania Bartoletti, Zhenyu Liu, Moe Z. Win, Andrea Conti
Summary: Device-free localization (DFL) has applications in smart cities, intelligent transportation, and public safety. This article presents a theoretical foundation of DFL in cluttered environments and provides guidelines for designing and analyzing DFL systems.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Chemistry, Analytical
Jonghoek Kim
Summary: This article addresses the issue of tracking multiple targets in noisy underwater environments using bearing-only measurements. The GM-PHD filter, with its low computational load, is found to provide good performance in underwater noisy environments. However, the range uncertainty in bearing-only measurements makes the performance of a single EKF poor in the GM-PHD filter. The proposed approach in this article involves running multiple EKFs associated with multiple target samples, resulting in improved performance.
Article
Engineering, Electrical & Electronic
Bo Yan, Enrico Paolini, Na Xu, Zhifeng Sun, Luping Xu
Summary: This paper introduces a new tracking approach capable of effectively detecting multiple closely spaced, maneuvering, and weak targets in densely cluttered environments. The method, based on the TBD paradigm, addresses target extension, closely spaced targets, and target maneuvering in two stages, and outperforms existing methods in various scenarios.
Article
Chemistry, Analytical
Yiyue Gao, Defu Jiang, Chao Zhang, Su Guo
Summary: An improved GM-PHD filter is proposed in this study, where Gaussian components are classified and labeled, and multitarget state extraction is converted into multiple single-state extractions, achieving the integration of trajectory maintenance with state extraction.
Article
Engineering, Electrical & Electronic
Liping Wang, Ronghui Zhan, Shengqi Liu, Jun Zhang, Zhaowen Zhuang
Summary: This paper proposes a new JTC-RHM-PHD filter for joint tracking and classification of multiple extended targets, which can accurately classify multiple extended targets with similar sizes and has superior tracking performance.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Computer Science, Information Systems
Haowei Zhang, Hao Zhou, Binfeng Zong, Junwei Xie
Summary: In summary, a collocated MIMO radar system is able to effectively and efficiently track multiple targets using a fast power allocation strategy to optimize the predicted posterior Cramer-Rao lower bound. The proposed sequential relaxation-based solver shows effectiveness in achieving the objective of minimizing the PCRLB under power budget constraints.
IEEE SYSTEMS JOURNAL
(2022)
Article
Environmental Sciences
Weiming Tian, Linlin Fang, Weidong Li, Na Ni, Rui Wang, Cheng Hu, Hanzhe Liu, Weigang Luo
Summary: This paper proposes a deep-learning-based multiple model tracking method within the framework of the LGJMS-GMPHD filter. By solving the issues of filtering model mismatch and uncertain model switching, it effectively improves the tracking performance of targets with complex maneuvering motion.
Article
Environmental Sciences
Bo Yan, Hua Zhang, Luping Xu, Yu Chen, Hongmin Lu
Summary: The developed 4D TBD approach aims to track weak extended targets in cluttered environments. It addresses the challenges of high dimensional measurements, as well as heterogeneous background clutter and clutter regions. Experimental results demonstrate the effectiveness of the method in detecting close targets with a high detection rate.
Article
Computer Science, Information Systems
Mirzobek Malikov, Vladimir Shin, Yoonsoo Kim
Summary: A novel strategy for coordinating drones to track a tilted circle path, maintaining a constant velocity and avoiding collisions, has been developed and shown to be effective through numerical simulations.
Article
Engineering, Electrical & Electronic
Branko Ristic, Luke Rosenberg, Du Yong Kim, Robin Guan
Summary: In this paper, the authors developed a hybrid algorithm that combines the advantage of amplitude information from the Bernoulli TBD algorithm with the conventional point-measurement Bayesian tracking framework. The resulting filter shows statistical and computational efficiency between the extremes of the Bernoulli TBD and the Bernoulli PM tracker.
Article
Geochemistry & Geophysics
Chaoqun Xia, Xiaorun Li, Yeping Yin, Shuhan Chen
Summary: The letter presents a method for detecting multiple small targets using HMERW, which enhances targets and suppresses background using a specific weight matrix and adaptive threshold. Extensive experiments demonstrate the superiority of the proposed method in target enhancement, background suppression, and multiple small targets detection.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Bo Yan, Enrico Paolini, Luping Xu, Hongmin Lu
Summary: This article proposes an algorithm for detecting and tracking multiple targets based on measurements provided by multiple radar systems in an environment with heavily cluttered regions. The method utilizes past measurements to build clutter maps, applies a track-before-detect algorithm using a weighted 3-D Hough transform, and uses a low-complexity tracklet association method based on a lion reproduction model. Three experiments demonstrate the effectiveness of the proposed approach, outperforming competing methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Jian Xue, Shuwen Xu, Jun Liu
Summary: This article addresses the detection problem of radar targets embedded in nonhomogeneous and non-Gaussian sea clutter. Three adaptive detectors are proposed based on clutter knowledge, ensuring constant false alarm rate properties with respect to both the clutter speckle covariance matrix and the clutter power mean. Simulation experiments show that the three detectors outperform their competitors.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Aerospace
Du Yong Kim, Branko Ristic, Robin Guan, Luke Rosenberg
Summary: This article presents a novel solution for multitarget tracking in the maritime environment using Bernoulli TBD filtering, addressing the challenges posed by sea clutter and variable target strengths. The efficacy of the proposed algorithm is verified through comparisons with existing TBD algorithms and realistic sea clutter simulations.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)