Exploitation of Microdoppler and Multiple Scattering Phenomena for Radar Target Recognition
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 24, 2006
- Accession Number
- ADA452992
Entities
People
- Hao Ling
Organizations
- University of Texas at Austin