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
Geochemistry & Geophysics
Jiaye Wu, Peng Liu, Bingji Zhao, Qingjun Zhang, Yaqiu Jin
Summary: This letter proposes a subband interferometry-based algorithm for single-channel SAR ground moving target detection, which utilizes the phase reversal characteristic of moving targets in the interferometric phase image for detection. Real airborne SAR data confirm the feasibility and effectiveness of the algorithm.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Jonas Kvist Andersen, John Peter Merryman Boncori, Anders Kusk
Summary: DInSAR is a useful technique for measuring ice velocity, but phase unwrapping errors can be a significant source of error. Traditional masking methods are not always effective, so a new method based on pixel connectivity estimation is proposed. The new method can detect the majority of unwrapping errors with a relatively low precision.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Le Zhang, Jian Lan
Summary: Extended object tracking (EOT) has gained attention recently, with the random matrix method being a popular and effective framework. However, existing methods assuming uniformly distributed scatter centers on the object fail to address the issue of densely distributed scatter centers on separated parts. To solve this, a new conditional Gaussian mixture model is proposed to accurately model the non-uniform distribution of measurements. By incorporating this new model into the random matrix framework, a variational Bayesian approach is derived for recursively estimating kinematic and extension states with improved performance.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Automation & Control Systems
Haonan Jiang, Yuanli Cai, Zhenhua Yu
Summary: This work explores the observability problem in bearings-only tracking (BOT) and proposes a series of metrics based on the condition number to quantitatively describe the observability degree and evaluate the tracking performance. The metrics can also be applied to sensor trajectory optimization and sensor configuration to enhance the tracking performance.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Geochemistry & Geophysics
Xiang Yu, Zhuang Wang, Xiaoyong Du, Libing Jiang
Summary: This article investigates the coherent reconstruction of the 3-D space target reflectivity with a monostatic radar. Inspired by multipass InSAR, multipass ISAR acquisitions are used on the same space target with a monostatic ground radar for 3-D space target reconstruction. The proposed multipass InISAR algorithm combines inverse synthetic aperture technology for range-azimuth focusing and interferometry for the third dimension reconstruction. Simulation results on different space targets validate the effectiveness of the algorithm.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
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
Engineering, Electrical & Electronic
Ye Yang, Kai Da, Yongfeng Zhu, Shengwen Xiang, Qiang Fu
Summary: In this study, an anti-deception jamming target tracking algorithm based on the data-level fusion is proposed in a distributed radar network. The algorithm improves tracking performance by introducing the consensus theory to covariance intersection fusion and utilizes unscented Kalman filter for distributed filtering. Two distributed target discrimination schemes are developed for non-collaborative and collaborative false targets respectively.
IET RADAR SONAR AND NAVIGATION
(2023)
Article
Engineering, Electrical & Electronic
Domenico Gaglione, Paolo Braca, Giovanni Soldi, Florian Meyer, Franz Hlawatsch, Moe Z. Win
Summary: Tracking multiple time-varying states based on heterogeneous observations is addressed in this paper. A statistical model and algorithm are developed for tracking an unknown number of targets by combining observations from two classes of data sources. The proposed algorithm incorporates factors such as observation-origin uncertainty, missed detections, false alarms, and asynchronicity. By applying the sum-product algorithm on a factor graph, a scalable multitarget tracking algorithm with inherent fusion capability is obtained. The algorithm's performance is evaluated using simulated and real data from a maritime surveillance experiment.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(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
Wujun Li, Wei Yi, Kah Chan Teh, Lingjiang Kong
Summary: This study proposes an efficient multiframe detection method that maps echo measurements to a discrete grid space and achieves adaptive multiframe integration by combining the target evolution relationship. The improved strategy reduces algorithm complexity and improves the accuracy of search paths, resulting in high detection probability and tracking accuracy for weak targets with range-Doppler-azimuth measurements.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Information Systems
Haowei Zhang, Weijian Liu, Zhaojian Zhang, Wenlong Lu, Junwei Xie
Summary: The DTFR mode in distributed MIMO radar networks is effective for multitarget tracking, and a TAPA strategy is developed for better system tracking accuracy. The TAPA problem, which involves target-radar assignment and power allocation, is solved using an efficient two-step-based solution. Simulation results demonstrate superior performance and adaptivity compared with existing algorithms.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Aerospace
Hagay Marom, Yaakov Bar-Shalom, Benny Milgrom
Summary: Tracking with bistatic radar measurements is challenging due to the nonlinear relationship between measurements and Cartesian coordinates. This paper proposes a solution by converting the bistatic 3-D sine-space position measurements to Cartesian coordinates using a second-order Taylor expansion, which provides an unbiased and statistically consistent conversion.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
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)