High-frequency statistical classification of complex targets using severely aspect-limited data
Abstract
Many existing methods for asymptotic inverse scattering rely heavily on simplifying assumptions such as convex target structure and full-aspect data sets. As applied to real-world scattering situations (for example, radar target identification) these assumptions are rarely justified. A statistical method appropriate to very complex targets consisting of many scattering centers is investigated, each scatterer with different morphological properties. Under the assumption that the data are collected from a very narrow range of aspects, and using only several closely spaced frequencies, a simple calculation shows that gross target size and shape properties are determinable.
- Publication:
-
IEEE Transactions on Antennas and Propagation
- Pub Date:
- December 1986
- DOI:
- 10.1109/TAP.1986.1143775
- Bibcode:
- 1986ITAP...34.1455B
- Keywords:
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- Communication Theory;
- Inverse Scattering;
- Target Acquisition;
- High Frequencies;
- Polar Coordinates;
- Communications and Radar