title: Wind turbine clutter mitigation in coastal UHF radar.
abstract: Coastal UHF radar provides a unique capability to measure the sea surface dynamic parameters and detect small moving targets, by exploiting the low energy loss of electromagnetic waves propagating along the salty and good conducting ocean surface. It could compensate the blind zone of HF surface wave radar at close range and reach further distance than microwave radars. However, its performance is susceptible to wind turbines which are usually installed on the shore. The size of a wind turbine is much larger than the wavelength of radio waves at UHF band, which results in large radar cross section. Furthermore, the rotation of blades adds time-varying Doppler frequency to the clutter and makes the suppression difficult. This paper proposes a mitigation method which is based on the specific periodicity of wind turbine clutter and performed mainly in the time-frequency domain. Field experimental data of a newly developed UHF radar are used to verify this method, and the results prove its effectiveness.
authors.affiliation: Radar and Signal Processing Lab, School of Electronic Information, Wuhan University, Wuhan 430072, China.
authors.forename: Jing
authors.identifier: 0000-0002-1806-6003
authors.initials: J
authors.lastname: Yang
authors.affiliation: Radar and Signal Processing Lab, School of Electronic Information, Wuhan University, Wuhan 430072, China.
authors.forename: Chao
authors.identifier: 0000-0001-9057-2878
authors.initials: C
authors.lastname: Pan
authors.affiliation: Radar and Signal Processing Lab, School of Electronic Information, Wuhan University, Wuhan 430072, China.
authors.forename: Caijun
authors.initials: C
authors.lastname: Wang
authors.affiliation: Radar and Signal Processing Lab, School of Electronic Information, Wuhan University, Wuhan 430072, China.
authors.forename: Dapeng
authors.initials: D
authors.lastname: Jiang
authors.affiliation: Radar and Signal Processing Lab, School of Electronic Information, Wuhan University, Wuhan 430072, China.
authors.forename: Biyang
authors.initials: B
authors.lastname: Wen
mesh_terms: D011825:Radar; D058998:Remote Sensing Technology; D014919:Wind