G
Guifu Zhang
Researcher at University of Oklahoma
Publications - 214
Citations - 6722
Guifu Zhang is an academic researcher from University of Oklahoma. The author has contributed to research in topics: Radar & Phased array. The author has an hindex of 36, co-authored 207 publications receiving 5554 citations. Previous affiliations of Guifu Zhang include National Center for Atmospheric Research & Nanjing University.
Papers
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Detection of Ground Clutter from Weather Radar Using a Dual-Polarization and Dual-Scan Method
TL;DR: In this paper, a novel dual-polarization and dual-scan (DPDS) classification algorithm is developed for clutter detection in weather radar observations, which is applied to the data collected with the KOUN polarimetric radar and compared with the existing detection methods.
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On the Use of Auxiliary Receive Channels for Clutter Mitigation With Phased Array Weather Radars
TL;DR: Three spatial filtering techniques that used low-gain auxiliary receive channels that show promise for clutter mitigation with extremely short nonuniform sampling are presented.
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Low cross-polarisation high-isolation frequency scanning aperture coupled microstrip patch antenna array with matched dual-polarisation radiation patterns
TL;DR: In this article, a method of beam matching between two linear polarised radiation patterns of a dual-polarized frequency scanning antenna is proposed, implemented, and tested using a meticulous phase match process between the outputs of both individual cells and the whole corresponding horizontal and vertical feed lines.
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Ground Clutter Detection Using the Statistical Properties of Signals Received With a Polarimetric Radar
TL;DR: A test statistic, obtained from the generalized likelihood ratio test (GLRT), and a simple Bayesian classifier (SBC), with inputs from the mean and covariance of the received signals, are developed to detect ground clutter in the presence of weather signals.
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A Microphysics-Based Simulator for Advanced Airborne Weather Radar Development
TL;DR: A Monte Carlo simulation-based approach is introduced to address the theoretical basis and uncertainties of hydrometeor scattering along with sensor platform properties and the impact of melting on polarimetric radar signature at X-band frequency.