Results 211 to 220 of about 1,347 (235)
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Adaptive clutter suppression for ground penetrating radar

SPIE Proceedings, 2005
Adaptive methods are currently in use for GPR to detect shallow-buried targets in the presence of ground-bounce that may be orders of magnitude greater than the target response. One such method that has been used with noteworthy success to reduce the soil background has been called the Principal Components Algorithm (PCA) that applies the Mahalanobis ...
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Ground Clutter Analysis and Suppression of Airborne Weather Radar

2011
In this paper, Calculates, simulates and analyzes the ground clutter power spectrum of airborne weather radar; describes the simulation process and gives a calculation formula. Analyzes the power spectrum of the main lobe ground clutter; Based on the analysis, designs the complex coefficient filter to filter out the main lobe clutter, and gives the ...
Shuai Zhang, Jian-xin He, Zhao Shi
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Clutter Suppression and High-Resolution Imaging of Noncooperative Ground Targets for Bistatic Airborne Radar

IEEE Transactions on Aerospace and Electronic Systems, 2018
In a recent paper, the problem of inverse synthetic aperture radar (ISAR) imaging moving ground targets was discussed and an effective solution based on a novel joint space-time adaptive processing (STAP)-ISAR formulation was proposed. In the case of bistatic geometry, ISAR imaging can be simply and effectively enabled via the bistatically equivalent ...
Gelli, Samuele   +3 more
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Ground Clutter Suppression Based on Lifting Wavelet Transform for Airship-borne Weather Radar

2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
Peiyu Liu, Xichao Dong
exaly   +2 more sources

Adaptive ground clutter suppression for airborne weather radar based on echoes power

IET International Radar Conference 2013, 2013
Airborne weather radar is an important navigation equipment to ensure flight safety. A new adaptive clutter suppression method based on echoes power is proposed in this paper, which is for airborne weather radar operated in wind shear mode. By using the priori information and the polar coordinate centroid method, the centre frequency and bandwidth of ...
null Renbiao Wu   +2 more
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A clutter suppression method of ground penetrating radar for detecting shallow surface target

IET International Radar Conference 2015, 2015
GPR for detecting shallow surface target has heavy clutter and target echo cannot be distinguished easily. This paper proposes a PCA-SVD mixed clutter suppression method to realize dimension reduction and reconstruction, which can improve the performance of clutter suppression effectively. SVD processing remove direct wave, firstly.
Wang Xun Wang Xun   +2 more
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Ground Surface Clutter Suppression for GPR

2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI), 2021
Motoyuki Sato, Yoshitada Morita
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MPRF waveform for ground based radars to suppress returns from windmills and rain clutter

2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2015
Renewable energy sources such as wind parks are more and more shaping our environment. In the vicinity of radars, however, they often pose a serious problem, due to degradation of radar performance [6]. This paper deals with a new MPRF waveform capable of suppressing returns from wind parks and strong rain clutter and thus mitigating this performance ...
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Clutter suppression and feature extraction for land mine detection using ground penetrating radar

IEEE Antennas and Propagation Society International Symposium. Digest. Held in conjunction with: USNC/CNC/URSI North American Radio Sci. Meeting (Cat. No.03CH37450), 2004
In this paper, we discuss approaches for processing ground penetrating radar (GPR) data for land mine detection. We discuss two methods of clutter suppression using ARMA modeling and also examine feature extraction using both ARMA modeling and complex natural resonance (CNR) modeling. The algorithms presented have been tested on laboratory GPR data and
M.P. Kolba, I.I. Jouny
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