Signal processing for wind turbine interference mitigation in Doppler weather radars: Data synthesis, clutter detector performance, and spectral interpolation in range-azimuth-Doppler

B. Perfetti, J. Zheng, Mostafa Kaveh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper, a method is proposed to generate synthetic wind turbine interference in Doppler weather radar. The combination of such synthetic data and real weather data gives a basis of evaluating the statistical performance of radar signal processing algorithms for mitigating turbine interference. The Receiver Operating Characteristic of Phase Difference Detector is evaluated by utilizing such combined data. Further, Sliding Window Average method is proposed to replace the Bi-linear Interpolation of the mitigation method presented in [9].

Original languageEnglish (US)
Title of host publicationIET International Conference on Radar Systems, Radar 2012
Edition603 CP
DOIs
StatePublished - Dec 1 2012
EventIET International Conference on Radar Systems, Radar 2012 - Glasgow, United Kingdom
Duration: Oct 22 2012Oct 25 2012

Publication series

NameIET Conference Publications
Number603 CP
Volume2012

Other

OtherIET International Conference on Radar Systems, Radar 2012
CountryUnited Kingdom
CityGlasgow
Period10/22/1210/25/12

Keywords

  • Doppler radar
  • Wind turbine clutter

Fingerprint Dive into the research topics of 'Signal processing for wind turbine interference mitigation in Doppler weather radars: Data synthesis, clutter detector performance, and spectral interpolation in range-azimuth-Doppler'. Together they form a unique fingerprint.

Cite this