Target Identification by Means of Low Frequency Radar Returns.
OHIO STATE UNIV COLUMBUS ELECTROSCIENCE LAB
Pagination or Media Count:
A target identification technique is presented. It is based on low frequency radar returns. A large variety of objects is shown to be reliably classified in the presence of substantial amounts of noise. The target complexity varies form cylinders and cubes to modern combat airplanes. Two classification algorithms are used and compared, a linear discriminant method and a nearest neighbor rule. Both multiclass and pairwise classifications are carried out and extensively illustrated. The majority of results presented involve only the amplitudes of the radar returns, but the last part of the report describes the very impressive effects of phase on classification performance. Author
- Active and Passive Radar Detection and Equipment