Ground Clutter Detection for Weather Radar Using Phase Fluctuation Index

Golbon-Haghighi, Mohammad-Hossein; Zhang, Guifu; Doviak, Richard J.

doi:10.1109/tgrs.2018.2878378

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…The mismatch between the copolar beams could reduce the correlation between horizontal and vertical polarized beams and could result in inaccurate weather sensing, especially for the polarimetric parameters such as copolar cross-correlation coefficient ρ hv . [5] Fig. 9 shows the concurrent radiation patterns for the 2m-, 5m-and 10m-CPPAR.…”

Section: Optimization Resultsmentioning

confidence: 99%

“…In addition, weather observations impose stringent requirements on the polarimetric radiation patterns. For instance, to distinguish rain from melting snow, the error of the copolar correlation coefficient, ρ hv , must be less than 0.01 [4]- [5]. This can be translated as a higher than %99 resemblance between horizontal and vertical copolarization patterns.…”

Section: Introductionmentioning

confidence: 99%

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Design of a Cylindrical Crossed Dipole Phased Array Antenna for Weather Surveillance Radars

Golbon-Haghighi

Mirmozafari

Saeidi-Manesh

et al. 2021

IEEE Open J. Antennas Propag.

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We present a cylindrical dual-polarization phased array antenna for weather surveillance radars that features high isolation, matched copolar beams, low sidelobe levels, and adaptive null steering. We present a crossed dipole antenna element to replace the patch antenna on the currently deployed cylindrical polarimetric phased array radar (CPPAR). The crossed dipole element offers suppressed surface wave and lower coupling between adjacent elements of an array. As a result, we achieved lower backlobe and sidelobe levels, and a higher match between copolar beams of CPPAR compared to the currently deployed multi-layer patch antenna. Further reduction of the sidelobe level and adaptive null steering are obtained using a modified particle swarm optimization. The proposed null steering mitigates the interference among the four concurrent beams of a cylindrical phased array radar. The improvement in CPPAR radiation characteristics has been verified by comparing the presented crossed dipole antenna's radiation patterns and the existing aperture coupled patch antenna. The proposed crossed dipole phased array can benefit national weather radar networks to provide accurate multiparameter measurements enabling reliable observation of severe weather phenomena.

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Section: Optimization Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of a Cylindrical Crossed Dipole Phased Array Antenna for Weather Surveillance Radars

Golbon-Haghighi

Mirmozafari

Saeidi-Manesh

et al. 2021

IEEE Open J. Antennas Propag.

Self Cite

View full text Add to dashboard Cite

show abstract

“…where K is the pulse number, w l (n) the wind turbine clutter, c l (n) the ground clutter, s l (n) the weather signal, and z l (n) the noise. The weather signal is formed by the coherent superposition of all the scattering returns [5] in the lth range bin, assuming that the weather target is moving with a constant radial velocity. The weather signal return in the nth pulse of the lth range bin is given by:…”

Section: Weather Radar Signal Modelmentioning

confidence: 99%

Wind Turbine Clutter Suppression for Weather Radars by Improved Range-Doppler Domain Joint Interpolation in Low SNR Environments

Xu¹,

Shen²,

Wu³

et al. 2019

PIER M

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Due to the exponential growth of the number and scale of wind farms, wind turbine clutter has become the main factor that limits the detection performance of weather radar systems. As a consequence of the rapid rotation of wind turbine blades, conventional ground clutter filters are ineffective at removing wind turbine clutter (WTC). An improved range-Doppler joint interpolation for WTC suppression is proposed in this paper. The proposed algorithm firstly exploits the frequencydomain transformation technique to improve the signal-to-noise ratio (SNR), so that the interpolation algorithm can recover the weather signal in the case of low SNR. Then, the weather signals recovered by one-dimensional interpolation in range domain and Doppler domain are calculated, respectively, and the two-dimensional joint interpolation is performed based on two-dimensional weighted coefficients calculated via a least mean squares criterion. Theoretical analysis and simulation results show that the proposed algorithm effectively suppresses the wind turbine clutter and significantly reduces the bias in radial velocity estimation caused by WTC contamination in low SNR environments.

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“…Different weather conditions, such as fog, rain and snow, will destroy the visual effects on the image, which will seriously damage the performance of the outdoor vision system, resulting in the failure of the image and video based object detection, tracking, recognition and scene analysis system. In order to solve these problems, weather image restoration has been proposed and received great attention [5][6]. Early weather classification methods only divided a given image into sunny or cloudy days, while some later studies gradually expanded the weather classification labels to rainy, foggy and snowy days [7].…”

Section: Introductionmentioning

confidence: 99%

Weather Recognition Algorithm based on Convolution Neural Network

2020

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With the development of deep neural network, its excellent performance in the field of vision has attracted the attention of scholars at home and abroad. The method based on convolutional neural network (CNN) has become the most important tool to solve related tasks in the field of vision. In this paper, the weather recognition algorithm based on CNN is studied. This paper first analyzes the structure and characteristics of CNN. Aiming at the problems of low accuracy of existing weather image classification methods and slow model training speed, transfer learning method is introduced on the basis of deep CNN, which can greatly shorten the model training time and obtain better classification effect.

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Ground Clutter Detection for Weather Radar Using Phase Fluctuation Index

Cited by 12 publications

References 20 publications

Design of a Cylindrical Crossed Dipole Phased Array Antenna for Weather Surveillance Radars

Design of a Cylindrical Crossed Dipole Phased Array Antenna for Weather Surveillance Radars

Wind Turbine Clutter Suppression for Weather Radars by Improved Range-Doppler Domain Joint Interpolation in Low SNR Environments

Weather Recognition Algorithm based on Convolution Neural Network

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