Article
Chemistry, Analytical
Jaya Shradha Fowdur, Marcus Baum, Frank Heymann
Summary: As autonomous navigation is increasingly utilized, the study emphasizes the importance of robust tracking in maritime traffic. Three marine radar datasets are provided for target detection and tracking research, along with a novel algorithm for multiple target tracking based on centroid. Performance comparison with a standard version and dataset-specific analysis are presented. The datasets are available under DLR's terms and agreements.
Article
Engineering, Aerospace
Peter John-Baptiste, Kristine L. Bell, Joel Tidmore Johnson, Graeme Edward Smith
Summary: This work introduces a fully adaptive radar multiple target tracking (FAR-MTT) model, which outperforms static parameter selections. By developing a multiple target Fisher information matrix and an optimization scheme, the model achieves accurate tracking of each target and reduces resource usage in multiple target environments.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Chemistry, Analytical
Woosung Hwang, Hongje Jang, Myungryul Choi
Summary: Drones are being widely used but detecting them for defense or security purposes is challenging due to their small size and plastic materials. This paper proposes a radar system that can collect high-resolution data to accurately determine the position of a drone. However, the collected data contains clutter and noise, which needs to be suppressed and canceled. Four clutter cancellation algorithms are evaluated and compared, with the proposed algorithm combining standard deviation with the least mean squares method. Outdoor experiments are conducted to measure and compare the performance of these algorithms.
Article
Engineering, Aerospace
Beibei Ge, Daoxiang An, Leping Chen, Wu Wang, Dong Feng, Zhimin Zhou
Summary: In this article, a framework of multichannel SAR-GMTI is proposed to address the detection of slow-moving targets buried in strong clutter. The method includes clutter suppression, moving target tracking, and trajectory reconstruction steps, demonstrating wide applicability and effectiveness.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(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
Chao Zhong, Jinshan Ding, Yuhong Zhang
Summary: Video synthetic aperture radar (SAR) plays an important role in ground moving target indication and tracking, but neither shadow nor energy information alone can provide robust detection and tracking. A joint processing framework combining these two types of information effectively reduces the false alarm and miss-detection rate, as verified by simulated and real video SAR data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Haowei Zhang, Weijian Liu, Binfeng Zong, Junpeng Shi, Junwei Xie
Summary: This paper develops an efficient power allocation strategy for maneuvering target tracking in collocated MIMO radar, which implements optimal power allocation based on prior target maneuvering information and optimizes using PC-CRLB. Simulation results demonstrate better tracking performance compared to uniform allocation and improved efficiency compared to convex optimization tools.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Computer Science, Information Systems
Gianluca Gennarelli, Carlo Noviello, Giovanni Ludeno, Giuseppe Esposito, Francesco Soldovieri, Ilaria Catapano
Summary: This paper investigates the performance of a small and lightweight 24 GHz FMCW MIMO radar in the marine environment and presents a complete signal processing strategy. The validation of the proposed strategy is conducted through numerical tests and experimental trials, demonstrating satisfactory localization and tracking of marine targets.
Article
Engineering, Electrical & Electronic
Zhengjie Li, Junwei Xie, Weijian Liu, Haowei Zhang, Houhong Xiang
Summary: In this article, a joint strategy of power and bandwidth allocation (JSPBA) is proposed for multiple maneuvering target tracking (MMTT) in the multi-input multi-output (MIMO) radar with collocated antennas. The proposed algorithm optimally allocates the transmitted resources based on prior information in the closed-loop system of cognitive tracking. The nonconvex problem is solved by converting it into a series of convex problems and then formulated as standard semi-definite programming (SDP) problems for solution.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Geochemistry & Geophysics
Jiawei Dong, Yanlei Li, Qichang Guo, Xingdong Liang
Summary: This letter proposes an effective through-wall moving target tracking algorithm in multipath environments, utilizing the correlation of human motion to restore and estimate the range delay of the moving target. The simulation and experimental results demonstrate that this method can suppress multipath and smooth the trajectory.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Xiaofei Han, Huafeng He, Qi Zhang, Lihao Yang, Yaomin He
Summary: This research proposes a suppression method for deception-false-target (FT) jamming in monostatic radar by considering the radar position error. The algorithm discriminates FTs in the track initiation and target tracking stages, and performs a secondary discrimination when using active radar measurements as a supplement for passive radar track initiation. Finally, the sequential track correlation method is used to eliminate the remaining FTs. Simulation results demonstrate that this method improves the discrimination probability of FTs while ensuring a high discrimination probability of the physical target (PT).
IEEE SENSORS JOURNAL
(2022)
Article
Geochemistry & Geophysics
Michael K. Newey, Joshua M. Kantor, Gerald R. Benitz
Summary: This work focuses on improving SAR autofocus methods for moving targets, incorporating higher motion order terms to improve image quality and reduce blurring in target signatures.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Liwu Wen, Jinshan Ding, Zhong Xu
Summary: This article presents a multiframe detection approach for sea-surface small target using deep convolutional neural network, which shows better detection performance than conventional methods in complex marine environment and low signal-to-clutter ratio (SCR), and exhibits acceptable generalization ability.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Aerospace
Itzik Cohen, Nadav Levanon
Summary: This article explores the possibility of replacing a monostatic radar with a highly directive antenna using a coherent bistatic (BS) radar with a single short baseline between the transmitter and the receiver, without requiring direction measurements. The method is applicable to moving targets and relies on both range and range-rate BS measurements. Theoretical analysis and field-test results demonstrate how consecutive pairs of BS range (r) and range-rate (ṙ) measurements can determine the position, velocity, and heading of a moving target in a two-dimensional scene (x, y, v(x), v(y)). In a three-dimensional scene, a second receiver, not along the baseline, is required to estimate five target parameters (x, y, h, v(x), v(y)). The measurements of range and range-rate distinguish this concept from other multistatic radars and well-known positioning or angle-of-arrival estimation techniques.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Chao Zhong, Jinshan Ding, Yuhong Zhang
Summary: Video synthetic aperture radar (ViSAR) is useful for surveillance of ground moving targets, but neither shadow-based nor energy-based approaches can provide reliable tracking. In this study, a moving target tracking framework based on joint kernelized correlation filter (JKCF) is proposed, which combines shadow and energy information for tracking and adopts interactive processing to enhance tracking accuracy.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)