Radar detector detectors (RDDs) are used by law enforcement to detect radar detector users. Your detector is invisible to RDDs but can alert you if it receives signals from them.
In this work, we introduce the first point based deep learning approach for ghost target detection in 3D radar point clouds. This is done by extending the PointNet network architecture by …
Accurate estimation of target information is crucial for ghost identification in angular domain. In the field of bistatic MIMO radar, the angle finding methods for situations with different DOA and …
Abstract—Ghost targets caused by inter-reflections are by design unavoidable in radar measurements, and it is challenging to distinguish these artifact detections from real ones. In …
In this thesis a method is proposed for eliminating ghost objects solely based on radar data. The proposed method utilizes classifiers, such as Classification and Regression Trees and Neural …
Ghost detections are the result of multi-path propagations from the radar signal. They occur whenever a multi-path reflection is received by the sensor and simultaneously sur-passes the …
When radar perceives a scene, the detected point cloud typically contains real targets, ghost targets, stray noise, or static background points.