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Engineering, Aerospace
Lan Lan, Massimo Rosamilia, Augusto Aubry, Antonio De Maio, Guisheng Liao, Jingwei Xu
Summary: This article addresses the problem of adaptive radar detection with a polarimetric frequency diverse array multiple-input multiple-output radar. At the design stage, the target detection problem is formulated as a composite hypothesis test with various unknown parameters. Suboptimal design strategies based on the generalized likelihood ratio criterion are employed to solve the formulated detection problem. The performance of the proposed architectures is evaluated through Monte Carlo simulations and compared with benchmarks in different disturbance scenarios.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Hang Ye, Yong-Liang Wang, Weijian Liu, Jun Liu, Hui Chen
Summary: This paper considers the problem of detecting a signal in ground clutter dominated environments with a symmetrically structured power spectral density. Decision schemes based on the symmetry of interference spectrum, such as the gradient test, Durbin test, and their two-step (2S) variants, are developed. Numerical results show that the gradient test outperforms existing methods in sample-starved scenarios, and detectors exploiting the interference spectrum symmetry are superior to traditional detectors without exploiting the interference spectral symmetry.
Article
Computer Science, Information Systems
Haoxuan Xu, Jiabao Liu, Meiguo Gao
Summary: This article addresses the problem of detecting range-spread targets with unidentified covariance matrices in the presence of Gaussian disturbance. Two steps of design were utilized to derive detectors, and the unknown parameters were estimated based on the autoregressive property of the disturbance. The simulation results showed the effectiveness of the proposed detectors compared to previous methods.
Article
Engineering, Electrical & Electronic
Hongzhi Guo, Zhihang Wang, Zishu He, Ziyang Cheng
Summary: This paper focuses on the detection problem of subspace targets in compound Gaussian sea clutter with generalized inverse Gaussian (GIG) texture. Three novel subspace detectors are proposed based on the Wald test, the gradient test, and the Durbin test. The persymmetric property of speckle covariance matrix and the maximum a posteriori (MAP) criterion are utilized to estimate the speckle covariance matrix and the GIG texture parameters.
Article
Geochemistry & Geophysics
Zhihang Wang, Zishu He, Qin He, Binbin Xiong, Ziyang Cheng
Summary: This article investigates the problem of dual-polarimetric target detection in non-Gaussian sea clutter. Three novel polarimetric detectors are proposed based on the maximum a posteriori (MAP) generalized likelihood ratio test (GLRT), MAP Rao, and MAP Wald criteria. The detectors are proven to have constant false alarm rate (CFAR) properties. The performance of the detectors is evaluated on simulated and measured sea clutter data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Shixing Yang, Wei Yi, Andreas Jakobsson, Yao Wang, Hang Xiao
Summary: This paper addresses the weak signal detection problem in a massive colocated multiple-input multiple-output (MIMO) radar. To cope with the sheer amount of data produced by the large-scale antennas, a low-bit quantizer is introduced in the sampling process to enable both for hardware limitations and a high detection performance. The generalized likelihood ratio test (GLRT) detector is proposed for the quantized data, with the batch gradient descent algorithm being introduced to form an estimate of the unknown parameters. Furthermore, as a low-complexity alternative to the GLRT detector, we propose a multi-bit Rao detector, yielding a closed-form test statistic, whose theoretical distribution is also presented. Finally, we refine the design of the quantizer by optimizing the quantization thresholds, which are obtained using the particle swarm optimization algorithm. Results from simulation and experimental data demonstrate the performance of the detectors using both unquantized and quantized data. They corroborate the theoretical analyses and show that the performance with 3-bit quantization yields a performance that approaches the cases without quantization, while reducing the overall complexity of the system substantially.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Francois Vincent, Olivier Besson
Summary: The paper explores the issue of identifying background in hyperspectral images and introduces a robust Adaptive Matched Filter as a solution, showcasing potential improvement in case of target signature mismatch.
Article
Engineering, Electrical & Electronic
Jiaheng Wang, Yalong Wang, Zhihang Wang, Zishu He, Binbin Xiong
Summary: In this paper, the effect of different antenna attitudes on polarimetric target detection is investigated. The heterogeneous array (HA), composed of antennas with different attitudes, is taken as the research object. An adaptive detection algorithm is derived using the generalized likelihood ratio test (GLRT) criterion. The algorithm's probability of detection and false alarm is presented. Through numerical simulations, the proposed algorithm's detection ability is analyzed and compared to the uniform linear array (ULA) and the uniform linear array consisting of orthogonal pairs of dipoles (ULAP). Simulation results show that the HA can improve detection performance by utilizing polarization domain information, thereby proving the polarimetric target detection ability of the array composed of antennas with different attitudes.
Article
Engineering, Electrical & Electronic
Xinchen Jing, Hongtao Su, Lu Shen, Zhi Mao, Congyue Jia
Summary: This paper focuses on the adaptive detection of point-like targets under clutter and noise cover pulse (NCP) jamming. Different detectors such as NCP-GLRT, NCP-Wald, and NCP-Rao are designed based on generalized likelihood ratio test, Wald, and Rao criteria. Furthermore, a modified detector called NCP-MRao is proposed to improve the degraded detection performance of NCP-Rao. The numerical simulation results demonstrate that the proposed detector outperforms analogous counterparts in terms of detection performance.
Article
Geochemistry & Geophysics
Zhihang Wang, Zishu He, Qin He, Binbin Xiong, Ziyang Cheng
Summary: This study investigates the polarimetric target detection problem in compound Gaussian sea clutter and proposes polarimetric compound Gaussian detectors based on two-step Rao test, Wald test, and GLRT. The detectors are fully adaptive through two steps, and their constant false alarm rate (CFAR) properties are verified. Experimental results show that the proposed detectors outperform competitors and are robust to signal mismatch.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Yufeng Cui, Yong-Liang Wang, Weijian Liu, Qinglei Du, Jun Liu
Summary: This letter considers the problem of detecting a signal in a nonhomogeneity environment caused by random unknown interference. An effective detector is proposed based on the criteria of the two-step Durbin test or the two-step Wald test. Simulation results demonstrate that the proposed detector achieves slightly better performance compared to existing detectors while maintaining similar computational load under both hypothetical interference conditions and other interference conditions.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Li Zeng, Yong-Liang Wang, Weijian Liu, Jun Liu, Zhaojian Zhang
Summary: This letter addresses the problem of target detection in unknown Gaussian noise for a colocated MIMO radar. Training data is used to improve the detection performance, and the corresponding detectors are derived along with their performance analysis. Simulation results demonstrate that the proposed detectors outperform existing detectors without utilizing training data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Computer Science, Information Systems
Tao Jian, Jia He, Yu Liu, You He, Congan Xu, Zikeng Xie
Summary: In this paper, we propose a two-step detector for the adaptive detection problem of range-spread targets embedded in subspace interference plus structured Gaussian clutter. The detector leverages the persymmetric structure to achieve constant false alarm rate property with respect to the clutter covariance matrix. The numerical results demonstrate that the proposed detector outperforms existing unstructured subspace detectors and persymmetric subspace detectors, especially with limited training data.
SCIENCE CHINA-INFORMATION SCIENCES
(2023)
Article
Engineering, Electrical & Electronic
Augusto Aubry, Antonio De Maio, Lan Lan, Massimo Rosamilia
Summary: This paper investigates joint adaptive radar detection and target bearing estimation in the presence of mutual coupling among the array elements. A suitable model is developed for the signal received by the multichannel radar, taking into account the mutual coupling effects. The performance of the proposed detectors is compared with benchmarks and existing literature which neglect the mutual coupling phenomenon.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
Article
Engineering, Aerospace
Olivier Besson
Summary: This paper addresses the problem of detecting a signal of interest in Gaussian noise with an unknown covariance matrix, in which the amplitude of the signal fluctuates along the observations and follows a Rice distribution. The authors formulate it as a composite hypothesis testing problem and derive the generalized likelihood ratio test, which ensures a constant false alarm rate. Numerical simulations demonstrate its performance for Rician and Swerling I and III targets, showing significant improvement for Rician targets with a small number of training samples.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
D. Ciuonzo, A. De Maio, P. Salvo Rossi
IEEE SIGNAL PROCESSING LETTERS
(2015)
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Engineering, Aerospace
A. Aubry, A. De Maio, G. Foglia, C. Hao, D. Orlando
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2015)
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Engineering, Aerospace
A. Aubry, A. De Maio, Y. Huang, M. Piezzo, A. Farina
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2015)
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Engineering, Aerospace
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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2015)
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Geochemistry & Geophysics
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2015)
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Engineering, Electrical & Electronic
Seyyed Mohammad Karbasi, Augusto Aubry, Antonio De Maio, Mohammad Hasan Bastani
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2015)
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Engineering, Electrical & Electronic
Augusto Aubry, Antonio De Maio, Goffredo Foglia, Danilo Orlando
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2015)
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Engineering, Electrical & Electronic
Antonio De Maio, Danilo Orlando
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2015)
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Engineering, Electrical & Electronic
Carmine Clemente, Luca Pallotta, Ian Proudler, Antonio De Maio, John J. Soraghan, Alfonso Farina
IET RADAR SONAR AND NAVIGATION
(2015)
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Geochemistry & Geophysics
Vincenzo Carotenuto, Antonio De Maio, Carmine Clemente, John J. Soraghan, Giusi Alfano
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2016)
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Respiratory System
Steven Kao, Ashkaun Shaterian, David M. Cauvi, Xitong Dang, Hyun Bae Chun, Antonio De Maio, Todd W. Costantini, Raul Coimbra, Brian P. Eliceiri, Andrew Baird
EXPERIMENTAL LUNG RESEARCH
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
D. Ciuonzo, A. De Maio, G. Foglia, M. Piezzo
2015 IEEE INTERNATIONAL RADAR CONFERENCE (RADARCON)
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
Antonio De Maio, Danilo Orlando, Salvatore Iommelli
2015 IEEE INTERNATIONAL RADAR CONFERENCE (RADARCON)
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
Vincenzo Carotenuto, Augusto Aubry, Antonio De Maio, Alfonso Farina
2015 IEEE INTERNATIONAL RADAR CONFERENCE (RADARCON)
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
A. Aubry, A. De Maio, Y. Huang
2015 IEEE INTERNATIONAL RADAR CONFERENCE (RADARCON)
(2015)