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Weibo Deng

Researcher at Harbin Institute of Technology

Publications -  61
Citations -  293

Weibo Deng is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Radar & Clutter. The author has an hindex of 7, co-authored 57 publications receiving 198 citations.

Papers
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Oblique projection polarisation filtering for interference suppression in high-frequency surface wave radar

TL;DR: In this article, an oblique projection polarisation filter (OPPF) is proposed for interference suppression in high-frequency surface wave radar (HFSWR), which can be constructed from the polarisation subspaces of the target signal and those of the interference or directly from experimental data.
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A Deterministic Far-Field Sampling Strategy for Array Diagnosis Using Sparse Recovery

TL;DR: A deterministic sampling strategy for failure identification in uniform linear arrays using compressed sensing/sparse recovery technique is proposed and numerical results confirm the good performance of the technique described in this letter.
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Weak Target Detection within the Nonhomogeneous Ionospheric Clutter Background of HFSWR Based on STAP

TL;DR: A novel algorithm based on angle- doppler joint eigenvector which considers the angle-Doppler map of radar echoes is adopted to analyze the characteristics of the nonhomogeneous ionospheric clutter and a new strategy of training data selection is proposed to improve the joint domain localised (JDL) algorithm.
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Main-Lobe Cancellation of the Space Spread Clutter for Target Detection in HFSWR

TL;DR: A spread clutter estimated canceller (SCEC) based on single notch space filter has been developed for SSC cancellation to cancel the clutter in the main-lobe with the idea of estimating the SSC in the looking direction through the ones in side-lobes.
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Fast DOA Estimation Algorithms for Sparse Uniform Linear Array With Multiple Integer Frequencies

TL;DR: The sparse uniform linear array (SULA) with larger array aperture is adopted to improve the accuracy of direction of arrival (DOA) estimation with a limited number of physical antennas by using multiple integer frequencies to perform DOA estimation.