Statistical Modeling of Polarimetric RCS of Road Surfaces for Scattering Simulation and Optimal Antenna Polarization Determination

Incoherent backscattering of mm-waves from natural rough surfaces is considered. A novel method is proposed to determine the statistical properties of surface scattering from range profile measurements. The method is based on modeling the road surface as a grid of uncorrelated scattering elements, described by normalized scattering matrices....

Road Surface Conditions Identification via H α A Decomposition and Its Application to mm-Wave Automotive Radar

A novel approach based on the entropy-alpha-anisotropy decomposition, also known as the $H\alpha A$ decomposition, for the recognition of road surface conditions using automotive radar is presented. To apply the $H\alpha A$ decomposition to automotive radar data, a dedicated signal processing pipeline has been developed. To investigate its...

Statistical Polarimetric RCS Model of an Asphalt Road Surface for mm-Wave Automotive Radar

A method for extracting fully polarimetric statistical properties of road surface radar cross sections is presented. This method is subsequently applied to extract radar cross section information from an asphalt road surface. Furthermore, an approach is introduced to synthesise the scattered signal of road surface returns as measured by a radar....

Classification of Unmanned Aerial Vehicles (UAVs) Carrying Payloads with Polarimetric Radar

The ability of a fully polarimetric radar to discriminate between payloads carried by UAVs is demonstrated. A novel approach has been employed in the feature extraction algorithm, where features from individual and combined polarimetric channels are extracted for classification. Decision and ensemble fusions on the respective extracted features...

Radar-Based Classification of Unmanned Aerial Vehicles (UAVs) Carrying Payloads

Unmanned Aerial Vehicles (UAVs), commonly referred to as drones have gained increasing popularity with current technological breakthroughs. Recent reports indicate the number of registered drones in the United States have crossed 850,000 and is expected to increase multi-fold over the coming years. The widespread applications of drones include...

Radar Doppler Polarimetry of Wind Turbines using the S-band PARSAX radar

Due to the necessity of more sources of renewable wind generated energy, the number of wind turbines in the Netherlands has grown in the past. Unfortunately, big sizes and movements of the blades negatively impact ground-based Doppler radars in the form of Doppler clutter. Such clutter leads to a downgrade of the surveillance radar performance...

Estimation and assessment of differential and specific differential phase with the IDRA X-band Doppler polarimetric radar

The specific differential phase (Kdp) is a polarimetric radar observable which can be advantageous for rain rate estimation as it is not affected by absolute calibration errors and resistive to hail contamination. Its estimation, starting from the differential phase (?dp) consists of many processing steps and considerations which are more...