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

2016 ◽  
Vol 13 (4) ◽  
pp. 614-620 ◽  
Author(s):  
De-Ying Wang ◽  
Yun Ling
Keyword(s):  
Surface Wave ◽  
Phase Shift ◽  
Suppression Method

Surface Wave Dispersion Imaging Using Improved τ-p Transform Approach

2013 ◽  
Vol 353-356 ◽  
pp. 1196-1202 ◽  
Author(s):  
Jian Qi Lu ◽  
Shan You Li ◽  
Wei Li
Keyword(s):  
Surface Wave ◽  
Phase Shift ◽  
Dispersion Curve ◽  
Wave Dispersion ◽  
S Wave ◽  
Surface Wave Dispersion ◽  
Narrow Frequency Range ◽  
Channel Analysis ◽  
Rayleigh Wave Dispersion

Surface wave dispersion imaging approach is crucial for multi-channel analysis of surface wave (MASW). Because the resolution of inversed S-wave velocity and thickness of a layer are directly subjected to the resolution of imaged dispersion curve. The τ-p transform approach is an efficient and commonly used approach for Rayleigh wave dispersion curve imaging. However, the conventional τ-p transform approach was severely affected by waves amplitude. So, the energy peaks of f-v spectrum were mainly gathered in a narrow frequency range. In order to remedy this shortage, an improved τ-p transform approach was proposed by this paper. Comparison has been made between phase shift and improved τ-p transform approaches using both synthetic and in situ tested data. Result shows that the dispersion image transformed from proposed approach is superior to that either from conventionally τ-p transform or from phase shift approaches.

scholarly journals A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3773
Author(s):  
Liang Guo ◽  
Xin Zhang ◽  
Di Yao ◽  
Qiang Yang ◽  
Yang Bai ◽  
...  
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
Secondary Data ◽  
Real Data ◽  
Training Sample ◽  
Clutter Suppression ◽  
Low Velocity ◽  
Unscented Transformation ◽  
Wave Radar ◽  
Suppression Method

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.

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

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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