Radar Cross Section and Micro-Doppler Simulation of Offshore Wind Turbines in X-Band

In order to combat climate change, offshore wind turbines are becoming increasingly popular. However, wind turbines' large Radar Cross Section (RCS) and nonzero micro-Doppler signature, combined with multipath propagation due to the sea surface, make it hard for offshore wind turbines and radar systems to live in harmony. The goal of this paper is to simulate the radar signature of an offshore wind turbine on a sea surface in X-band. This is done by using Physical Optics (PO) and the four path model, chosen as a compromise between model accuracy and computation time. An offshore wind turbine's RCS and micro-Doppler signature are computed and analyzed. The results show good agreement with real measurements and other simulation results.

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Publication Details

Published
2025-05-21
DOI
https://doi.org/10.23919/irs64527.2025.11046091
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

Radar Cross Section and Micro-Doppler Simulation of Offshore Wind Turbines in X-Band

Jean-Christophe Cexus, Basel Solaiman, L. Roche, Philippe Pouliguen et al.
2 links
Soil Moisture and Remote Sensing
article

Radar Cross Section and Micro-Doppler Simulation of Offshore Wind Turbines in X-Band

Jean-Christophe Cexus, Basel Solaiman, L. Roche, Philippe Pouliguen, Ali Khenchaf
article en

Abstract

In order to combat climate change, offshore wind turbines are becoming increasingly popular. However, wind turbines' large Radar Cross Section (RCS) and nonzero micro-Doppler signature, combined with multipath propagation due to the sea surface, make it hard for offshore wind turbines and radar systems to live in harmony. The goal of this paper is to simulate the radar signature of an offshore wind turbine on a sea surface in X-band. This is done by using Physical Optics (PO) and the four path model, chosen as a compromise between model accuracy and computation time. An offshore wind turbine's RCS and micro-Doppler signature are computed and analyzed. The results show good agreement with real measurements and other simulation results.

IMT Atlantique (FR), École nationale supérieure de techniques avancées Bretagne (FR)
Affordable and clean energy
Openalex Percentile: Top 86%
Soil Moisture and Remote Sensing
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