Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011 · 11 citations · 0 references
Natural SciencesEarth SciencesRadiation DetectionRemote SensingVehicle TestingCross Section DataRadar ReflectivityRadar Signal ProcessingRadar SystemsClutter Statistics ModelingDetection ThresholdsExperimental Data CollectionMoving Target DetectionMoving Target IndicationRadar Cross Section MeasurementRadar Cross-sectionTarget Detection
Knowing the statistical characteristics of a target's radar cross-section (RCS) is crucial to the success of radar target detection algorithms. Open literature studies regarding the statistical nature of the RCS of ground vehicles focus primarily on simulations, scale model chamber measurements, or limited experimental data analysis of specific vehicles at certain frequencies. This paper seeks to expand the existing body of work on ground vehicle RCS statistics at Ku-band for ground moving target indication (GMTI) applications. We examine the RCS probability distributions of civilian and military vehicles, across aspect and elevation angle, for HH and VV polarizations, and at diverse resolutions, using experimental data collected at Ku-band. We further fit Swerling target models to the distributions and suggest appropriate detection thresholds for ground vehicles in this band.