2016
DOI: 10.1109/lgrs.2016.2566660
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An Improved Oblique Projection Method for Sea Clutter Suppression in Shipborne HFSWR

Abstract: Sea clutter has a major impact on the detection performance of a shipborne high-frequency surface wave radar (HFSWR) system. Due to the platform motion of shipborne HFSWR, the Doppler spectrum of the first-order sea clutter suffers from some broadening so that the targets submerged in this broadening Doppler spectrum can be hardly detected. In this letter, an improved oblique projection (IOP) method, combining the oblique projection (OP) algorithm and the method of sea clutter suppression in the Doppler domain… Show more

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Cited by 21 publications
(9 citation statements)
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“…Figure 11 gives the comparison between the conventional clutter-suppression algorithms and the proposed algorithm (fast Fourier transform and digital beamforming (FFT–DBF), improved orthogonal weighting [ 26 ], improved oblique projecting [ 27 ], conventional JDL [ 24 ], and proposed algorithm) with three simulated targets and one real target, respectively.…”
Section: Experimental Results and Performance Comparisonmentioning
confidence: 99%
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“…Figure 11 gives the comparison between the conventional clutter-suppression algorithms and the proposed algorithm (fast Fourier transform and digital beamforming (FFT–DBF), improved orthogonal weighting [ 26 ], improved oblique projecting [ 27 ], conventional JDL [ 24 ], and proposed algorithm) with three simulated targets and one real target, respectively.…”
Section: Experimental Results and Performance Comparisonmentioning
confidence: 99%
“…The training samples which are similar to the CUT counts more and the proportion of unrelated training samples are weakened. An improved orthogonal weighting (IOW) algorithm [ 26 ] and an improved oblique projection (IOP) algorithm [ 27 ] were proposed, despite significant progress in the direction of arrival estimation, these JDL-like methods use samples in Doppler domain to estimate the CCM and suffer from the same drawbacks as the conventional JDL algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…, D are the Doppler frequency and the azimuth of the clutter patches, respectively. They satisfy Equation (9). The quantity of auxiliary channels, denoted by D, is discussed as follows.…”
Section: Knowledge-based Auxiliary Channels Selectionmentioning
confidence: 99%
“…SCNR Improve = SCNR after − SCNR before (dB). Figure 9 illustrates the comparison of Doppler profiles with simulated targets between the existing clutter-suppression algorithms (conventional JDL [7], IOW [8], IOP [9]) and the proposed algorithm. The FFT-DBF method was set as the reference.…”
Section: Measured Data With Simulated Targetmentioning
confidence: 99%
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