Article
Engineering, Aerospace
Donghoon Kim, Andrew Junghoon Park, Ui-Suk Suh, Dongwoo Goo, Donghwan Kim, Boram Yoon, Won-Sang Ra, Sanghoek Km
Summary: This article proposes an accurate clutter synthesis method for dynamic radar under various environmental conditions. The method overcomes the limitations of previous methods by creating and summing clutter patches, enabling accurate synthesis of clutter signals under different observation scenarios. The synthesized clutters agree well with actual measured data, and the program is freely available.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Yi-Chen Zhang, Peng-Lang Shui
Summary: This article proposes an antenna beampattern matched optimum coherent detector and a dual-threshold detection scheme for high-resolution mechanically scanning maritime surveillance radars. The modulation of target returns is determined by the antenna azimuth beampattern, scan rate, and pulse repetition interval, and the antenna scanning also affects the temporal correlation of sea clutter. A dual-threshold scheme is given to mitigate the high computational cost of the pulse scanning mode. Experimental results show that the proposed detector and scheme behave better in detection of small targets than the traditional detectors.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Geochemistry & Geophysics
Mateusz Malanowski, Rafal Rytel-Andrianik, Krzysztof Kulpa, Krzysztof Stasiak, Marek Ciesielski, Jaroslaw Kulpa
Summary: This article presents detailed geometric analyses of ground clutter in bistatic passive airborne radars. Analytic closed-form solutions are derived for finding the intersection of iso-ranges and iso-velocities, allowing clutter bistatic coordinates to be easily converted. The theoretical clutter distribution on the range-velocity map is compared with real-life data, showing good agreement between theory and measurement.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Xiaowen Bi, Shenglong Guo, Yunxiu Yang, Qin Shu
Summary: Target detection in sea clutter is significant in military radar research. This article proposes a method to directly extract the target echo using fractional Fourier transform (FRFT) and separate it from the sea clutter through fractional domain change coefficient clustering and filtering.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Stephen Bocquet
Summary: This article examines two examples of low grazing angle radar sea clutter using the compound K-distribution model. Pulse Doppler processing is used to obtain 2D range-time textures for the intensity, centroid, and width of the Doppler spectrum. Based on the analysis, a new method for simulation of coherent radar sea clutter is proposed.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Shuwen Xu, Xiaohui Bai, Qinghui Ren, Dongchen Li
Summary: In this study, the problem of sea-land segmentation based on radar echoes is addressed, and a method based on multiframe echoes is proposed. By unwrapping and iterating, the proposed method can effectively and robustly distinguish between sea and ground clutter.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Jian Xue, Jun Liu, Shuwen Xu, Meiyan Pan
Summary: This article focuses on the problem of detecting marine targets using coherent radars in a correlated heavy-tailed sea clutter background. A compound-Gaussian model is used to model the heavy-tailed sea clutter, and the clutter texture is characterized by a lognormal distribution. An adaptive coherent detector is developed based on the two-step generalized likelihood ratio test, which achieves adaptation to sea clutter characteristics and ensures a constant false alarm rate.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Linping Zhang, Yu Liu, Wenda Zhao, Xueqian Wang, Gang Li, You He
Summary: This article introduces a novel deep learning network called YOLO-FA for SAR ship detection, which suppresses sea clutter by processing frequency-domain information. The proposed method achieves state-of-the-art detection performance on both high-resolution SAR image dataset and SAR ship detection dataset.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Aerospace
Shuai Liu, Yunhe Cao, Tat-Soon Yeo, Wenhua Wu, Yutao Liu
Summary: The article analyzes the impact of clutter on coherent processing for RSF radar, introducing an adaptive range-Doppler clutter suppression algorithm to address the difficulties posed by waveform incompatibility with traditional MTD techniques.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
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
Environmental Sciences
Zeyu Wang, Jun Liu, Yachao Li, Hongmeng Chen, Mugen Peng
Summary: This paper proposes three adaptive subspace signal detectors that can accurately detect subspace signals in the presence of structured interference and compound Gaussian sea clutter. Experimental results validate the effectiveness of the proposed detectors.
Article
Geochemistry & Geophysics
Penghui Huang, Zihao Zou, Xiang-Gen Xia, Xingzhao Liu, Guisheng Liao
Summary: This article proposes a novel dimension-reduced STAP algorithm based on spatial-temporal 2-D sliding window processing for effective clutter suppression. It achieves better performance with lower computational complexity compared to conventional STAP algorithms. The feasibility and effectiveness of the proposed algorithm are verified by both simulated and real-measured data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Aerospace
Stephen Bocquet
Summary: The low grazing angle S-band radar sea clutter data collected by the NetRAD multistatic radar system is analyzed and it is found that the Suzuki distribution, a compound Gaussian model with log normal texture, is a good model for both monostatic and bistatic clutter. The clutter textures from simultaneously recorded monostatic and bistatic data are interpreted using hydrodynamics, providing estimates of water depth and wave direction.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Geochemistry & Geophysics
Jian Xue, Manshan Ma, Jun Liu, Meiyan Pan, Shuwen Xu, Jie Fang
Summary: This study investigates the design of adaptive detectors in correlated non-Gaussian sea clutter using suboptimal tests to improve the detection performance of maritime radar targets.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Linjie Yan, Sudan Han, Chengpeng Hao, Danilo Orlando, Giuseppe Ricci
Summary: In this paper, a solution is proposed to the open problem of joint adaptive detection of multiple point-like targets in scenarios characterized by different clutter types. Detection architectures are devised to classify range bins and detect possible multiple targets with unknown positions and numbers. The proposed architectures enhance the entire detection and estimation performance of the system by making it aware of the surrounding environment.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
