Exploitation of Microdoppler and Multiple Scattering Phenomena for Radar Target Recognition
Final rept. 1 Oct 2002-31 May 2006
TEXAS UNIV AT AUSTIN DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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Conventional radar signal processing is based on two simplified assumptions about target scattering i that the target is a rigid body ii that the target can be modeled as a collection of independent point scatterers without any multiple scattering effects. However, real radar data can deviate significantly from these two simplified assumptions. First, real-world targets are often observed by radar sensors under dynamic conditions where non-rigid body motions can exist. These non-rigid body motions give rise to microDoppler phenomena, which have been observed in a number of SAR and ISAR sensors. Examples of microDoppler phenomena include returns from moving components on the target such as scanning antennas or rotating wheels, as well as those from flexing and vibration of the target frame. Second, strong multiple scattering physics are often encountered in inlets and cavity structures on the target. For instance, the most prominent feature on an air target is often the range-delayed return from the jet inlet duct. Significant modeling work has been carried out by the computational electromagnetics community to characterize the complex scattering from inlet structures, yet little effort has been placed on utilizing the results to develop better imaging algorithms to map the inlet interior.
- Active and Passive Radar Detection and Equipment