A Validation Procedure for a Polarimetric Weather Radar Signal Simulator

Barcaroli, Elisa; Lupidi, Alberto; Facheris, Luca; Cuccoli, Fabrizio; Chen, Haonan; Chandra, Chandrasekar V.

doi:10.1109/tgrs.2018.2868144

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…This back scattering is the target echo signal received by the radar. According to the radar equation, assuming that the range between the radar receiving antenna and the target with an effective radar cross section (RCS) of σ is r [30], the signal power received by the radar can be expressed as:…”

Section: Target Echo and Sea Clutter Power Calculationmentioning

confidence: 99%

Joint Inversion of Evaporation Duct Based on Radar Sea Clutter and Target Echo Using Deep Learning

Yin

Zhang

et al. 2022

Electronics

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Tropospheric duct is an anomalous atmospheric phenomenon over the sea surface that seriously affects the normal operation and performance evaluation of electromagnetic communication equipment at sea. Therefore, achieving precise sensing of tropospheric duct is of profound significance for the propagation of electromagnetic signals. The approach of inverting atmospheric refractivity from easily measurable radar sea clutter is also known as the refractivity from clutter (RFC) technique. However, inversion precision of the conventional RFC technique is low in the low-altitude evaporation duct environment. Due to the weak attenuation of the over-the-horizon target signal as it passes through the tropospheric duct, its strength is much stronger than that of sea clutter. Therefore, this study proposes a new method for the joint inversion of evaporation duct height (EDH) based on sea clutter and target echo by combining deep learning. By testing the inversion performance and noise immunity of the new joint inversion method, the experimental results show that the mean error RMSE and MAE of the new method proposed in this paper are reduced by 41.2% and 40.3%, respectively, compared with the conventional method in the EDH range from 0 to 40 m. In particular, the RMSE and MAE in the EDH range from 0 to 16.7 m are reduced by 54.2% and 56.4%, respectively, compared with the conventional method. It shows that the target signal is more sensitive to the lower evaporation duct, which obviously enhances the inversion precision of the lower evaporation duct and has effectively improved the weak practicality of the conventional RFC technique.

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Section: Target Echo and Sea Clutter Power Calculationmentioning

confidence: 99%

Joint Inversion of Evaporation Duct Based on Radar Sea Clutter and Target Echo Using Deep Learning

Yin

Zhang

et al. 2022

Electronics

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“…Modeling weather conditions can be very valuable to verify the consistency of the radar measurements [24], [25]. Typically, rain follows a Marshall-Palmer raindrop size distribution [26].…”

Section: B Modeling Rainmentioning

confidence: 99%

Range–Doppler Analysis for Rain Detection at Ka-Band: Numerical and Experimental Results From Laboratory and Field Measurements

Zadeh

Mälzer

Simon

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Radar technology in the millimeter-wave frequency band offers many interesting features for wind park surveillance, such as structural monitoring of rotor blades or the detection of bats and birds in the vicinity of wind turbines (WTs). Currently, the majority of WTs are affected by shutdown algorithms to minimize animal fatalities via direct collision with the rotor blades or barotrauma effects. The presence of rain is an important parameter in the definition of those algorithms together with wind speed, temperature, time of the day, and season of the year. A Ka-band frequency-modulated continuous-wave radar (33.4-36.0 GHz) installed at the tower of a 2-MW WT was used during a field study. We have observed characteristic rain-induced patterns, based on the range-Doppler algorithm. To better understand those signatures, we have developed a laboratory experiment and implemented a numerical modeling framework. Experimental and numerical results for rain detection and classification are presented and discussed here. Based on this article, a bat-and bird-friendly adaptive WT control can be developed for improved WT efficiency in periods of rain and, at the same time, reduced animal mortality.

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“…In the state-of-the-art imaging measurement, the backscattering field data of an interested target are collected at different aspect angles through a wide frequency range to obtain two-dimensional (2-D) or three-dimensional (3-D) radar images [12]- [14]. Besides, after the successful applications of polarimetric radar in meteorology [15]- [17] and geoscience [18]- [21], the measurement of Polarization Scattering Matrix (PSM) arouses more attention, as it characterizes the intrinsic features of targets, including material, composition, and structure, enabling target identification and recognition [22]- [24]. To satisfy the up-to-date requirements for the radar imaging measurement, several ideas can be adopted in the development of a MIMO imaging radar system.…”

Section: Introductionmentioning

confidence: 99%

Calibration of Polarimetric Millimeter MIMO Radar for Near-Field Ultrawideband Imaging Measurement

He,

Liu,

Shan

et al. 2024

IEEE Trans. Instrum. Meas.

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A Validation Procedure for a Polarimetric Weather Radar Signal Simulator

Cited by 6 publications

References 32 publications

Joint Inversion of Evaporation Duct Based on Radar Sea Clutter and Target Echo Using Deep Learning

Joint Inversion of Evaporation Duct Based on Radar Sea Clutter and Target Echo Using Deep Learning

Range–Doppler Analysis for Rain Detection at Ka-Band: Numerical and Experimental Results From Laboratory and Field Measurements

Calibration of Polarimetric Millimeter MIMO Radar for Near-Field Ultrawideband Imaging Measurement

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