Jiapeng Yin

May 262017
 

Narrow-band Clutter Mitigation in Spectral Polarimetric Weather Radar

Abstract: In this paper, a new clutter suppression method named the moving double spectral linear depolarization ratio (MDsLDR) filter is put forward to mitigate narrow-band clutter in weather radars. The narrow-band clutter observed in the Doppler domain includes: 1) stationary clutter such as ground clutter and 2) non-stationary clutter such as artifacts caused by the radar system itself or external sources. These artifacts are difficult to remove because they are not confined to specific azimuth and range bins. Based on the difference of the spectral-polarization feature and the spectral continuity of precipitation and clutter, MDsLDR filter can remove  ground clutter, artifacts and noise. The performance of the newly proposed filter is assessed by data collected by the Doppler-polarimetric IRCTR Drizzle Radar (IDRA). Three precipitation cases are considered in this paper: moderate/light precipitation, convective precipitation with hook-echo signature and light precipitation with severe artifact contamination. Furthermore, the implementation of the MDsDLR filter requires relatively low computation complexity, so that the MDsLDR filter can be operated in real time.

The full text of the paper from Jiapeng Yin et. al., 2017, can be found here on the IEEE Xplore webpage

Mar 272017
 

The 11th European Conference on Antennas and Propagation, held in Paris, France, on 19-24 March 2017. Jiapeng Yin, the Ph.D. student in the Atmospheric Remote Sensing Group of the GRS department, made a presentation titled “Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar”. This paper was selected to be a finalist for a best paper award, and the finalist papers were requested to present their work in a work in a special poster session dedicated to the Awards. This session took place on Thursday afternoon, March 23, 2017, and gave a possibility for many additional discussions and contacts. Unfortunately, we did not receive the Award.

The increasing size and quantity of wind turbines worldwide provide an environmental-friendly solution to fulfill the growing demand for energy. However, this also brings in a new dynamic clutter named wind turbine clutter (WTC) for weather radars, and it has gradually become a concern because WTC deteriorates the radar performance severely. In this paper, Jiapeng mainly introduced the advanced waveform measurements of WTC using the TUD PARSAX radar. Furthermore, the micro-Doppler signature and the spectral-polarimetric properties of WTC were studied. Finally, a WTC mitigation method was put forward.

Additionally, colleagues from the Microwave Sensing, Signals and Systems Group of EWI, Alexander Yarovoy, Oleg Krasnov, Stefano Medagli, and Sharef Neemat also presented at this meeting.

Dec 092016
 

The increasing size and quantity of wind turbines worldwide provide an environmental-friendly solution to fulfill the growing demand for energy. However, this also brings in a new dynamic clutter named wind turbine clutter (WTC) for weather radars, and it has gradually become a concern because WTC deteriorates the radar performance severely. During December 6-7, to bring together the increasing number of experts and researchers in the field of electromagnetic waves within the context of wind energy plants and to offer a platform to discuss arising and existing problems, the focus days EMWT’16 provide a fitting platform. In contrast to other conferences EMWT’16 will cover the whole field of electromagnetic waves and wind energy in one specialist meeting in Fraunhofer Institute for High Frequency Physics and Radar Techniques .

Jiapeng Yin, the Ph.D. student in the Atmospheric Remote Sensing Group of the GRS department, made a presentation named “Signatures Study of Wind Turbine Clutter in Polarimetric Doppler Weather Radar” . He mainly introduced the micro-Doppler signature and the spectral-polarimetric properties of WTC based on the measurements of the PARSAX radar in TU Delft campus. This work relies on a recently-accepted conference processing of European Conference on Antennas and Propagation.

Additionally, colleagues from the Microwave Sensing, Signals and Systems Group of EWI, Oleg Krasnov, Faruk Uysal and Stefano Medagli also presented in this meeting. More information can be found on the following websites:

http://www.fhr.fraunhofer.de/en/events/emwt-2016.html

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Dec 082016
 

A novel drone-based radar calibration experiment is carried out by Jiapeng Yin, Jinliang Li and Fred van der Zwan on Novermber 1st and 3rd. The research aims to develop and implement the new technology in calibration for the next generation of weather radars. This is urgent and timely research as the current weather radars are not the optimum information sources for water management in urban areas – so prone to the increased occurrence of extreme rainfall. This research will use a micro-drone hexacopter to  carry the metal sphere and fly over two radars (S-band TARA and X-band IDRA) to complete the process in Cabauw.

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