Generation of Surface Wave in C-band Automotive On-glass Antenna and an Easily Realizable Suppression Method for Improving Antenna Characteristics

Due to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR). Limited by the quantity of qualified training samples, the performance of the generally used clutter-suppression method, space–time adaptive processing (STAP) degrades in shipborne HFSWR. To deal with this problem, an innovative training sample acquisition method is proposed, in the area of joint domain localized (JDL) reduced-rank STAP. In this clutter-suppression method, based on a single range of cell data, the unscented transformation is introduced as a preprocessing step to obtain adequate homogeneous secondary data and roughly estimated clutter covariance matrix (CCM). The accurate CCM is calculated by integrating the approximate CCM of different range of cells. Compared with existing clutter-suppression algorithms for shipborne HFSWR, the proposed approach has a better signal-to-clutter-plus-noise ratio (SCNR) improvement tested by real data.

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Phase-shift- and phase-filtering-based surface-wave suppression method

Applied Geophysics ◽

10.1007/s11770-016-0594-5 ◽

2016 ◽

Vol 13 (4) ◽

pp. 614-620 ◽

Cited By ~ 1

Author(s):

De-Ying Wang ◽

Yun Ling

Keyword(s):

Surface Wave ◽

Phase Shift ◽

Suppression Method

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Computationally Efficient RF Interference Suppression Method With Closed-Form Maximum Likelihood Estimator for HF Surface Wave Over-The-Horizon Radars

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2012.2210903 ◽

2013 ◽

Vol 51 (4) ◽

pp. 2361-2372 ◽

Cited By ~ 28

Author(s):

Jianxin Yi ◽

Xianrong Wan ◽

Feng Cheng ◽

Ziping Gong

Keyword(s):

Surface Wave ◽

Maximum Likelihood ◽

Closed Form ◽

Maximum Likelihood Estimator ◽

Interference Suppression ◽

Computationally Efficient ◽

Likelihood Estimator ◽

Suppression Method

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SURFACE WAVE SUPPRESSION METHOD IN SEISMIC MONITORING OF GEODYNAMIC PROCESSES BY SURFACE SURVEILLANCE SYSTEMS WITH IRREGULAR RECEIVERS SURFACE

Interexpo GEO-Siberia ◽

10.33764/2618-981x-2020-2-3-9 ◽

2020 ◽

Vol 2 ◽

pp. 3-9

Author(s):

Anton V. Azarov ◽

Alexander S. Serdyukov

Keyword(s):

Surface Wave ◽

Surface Waves ◽

Synthetic Data ◽

Seismic Monitoring ◽

Surveillance Systems ◽

Observation Systems ◽

Geodynamic Processes ◽

Spectral Transformations ◽

Suppression Method ◽

Irregular Arrangement

A multichannel method of suppressing surface waves contained in seismic monitoring data collected by surface observation systems with irregular arrangement of receivers is proposed. The possibilities of using various spectral transformations in the implementation of the proposed method are considered. The results of testing the algorithm on synthetic data are presented. The conditions for using the proposed method in practice are formulated.

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Sea clutter suppression method for shipborne high‐frequency surface‐wave radar

IET Radar Sonar & Navigation ◽

10.1049/iet-rsn.2015.0027 ◽

2016 ◽

Vol 10 (1) ◽

pp. 107-113 ◽

Cited By ~ 9

Author(s):

Chunlei Yi ◽

Zhenyuan Ji ◽

Junhao Xie ◽

Minglei Sun ◽

Yang Li

Keyword(s):

Surface Wave ◽

High Frequency ◽

Clutter Suppression ◽

Sea Clutter ◽

Wave Radar ◽

Suppression Method

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Exit-surface wave reconstruction using a focal series

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100129577 ◽

1992 ◽

Vol 50 (2) ◽

pp. 988-989

Author(s):

W.J. de Ruijter ◽

M.R. McCartney ◽

David J. Smith ◽

J.K. Weiss

Keyword(s):

Surface Wave ◽

Spherical Aberration ◽

Data Extraction ◽

High Sensitivity ◽

Geometric Distortion ◽

Variation Method ◽

Objective Lens ◽

Immediate Reconstruction ◽

Exit Surface ◽

Electron Microscopes

Further advances in resolution enhancement of transmission electron microscopes can be expected from digital processing of image data recorded with slow-scan CCD cameras. Image recording with these new cameras is essential because of their high sensitivity, extreme linearity and negligible geometric distortion. Furthermore, digital image acquisition allows for on-line processing which yields virtually immediate reconstruction results. At present, the most promising techniques for exit-surface wave reconstruction are electron holography and the recently proposed focal variation method. The latter method is based on image processing applied to a series of images recorded at equally spaced defocus.Exit-surface wave reconstruction using the focal variation method as proposed by Van Dyck and Op de Beeck proceeds in two stages. First, the complex image wave is retrieved by data extraction from a parabola situated in three-dimensional Fourier space. Then the objective lens spherical aberration, astigmatism and defocus are corrected by simply dividing the image wave by the wave aberration function calculated with the appropriate objective lens aberration coefficients which yields the exit-surface wave.

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