Naslov
Wind Turbine Micro-Doppler Prediction using Unscented Kalman Filter

Autori
Juryca, Karel ; Pidanic, Jan ; Mishra, Amit K. ; Moric, Zlatan ; Sedivy, Pavel

Izvornik
IEEE Access (2169-3536) 10 (2022); 109240-109252

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Radar , Blades , Doppler radar , Wind turbines , Radar cross-sections , Clutter , Radar detection , Kalman filters , Adaptive signal processing

Sažetak
With the increasing focus on green energy, wind turbines (WTs) have become common occurrences in most landscapes. The presence of WTs in the field of view of a radar will create very complicated clutter in a received signal. One of the major reasons for the complicated nature of WT clutter is the fact that it will consist of a wide band of Doppler frequencies. In addition, the Doppler band of frequencies keep changing based on wind speed and direction The tracking of dominant Doppler frequencies is one of the most important steps in the process of filtering WT clutter. In this work, we present an unscented Kalman filter (UKF) based solution to track the dominant Doppler frequencies in WT echoes. We have shown the efficiency of our algorithm by applying it to a wide range of real- measured data collected from various locations in Europe.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Informacijske i komunikacijske znanosti

POVEZANOST RADA