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Proceedings Paper

Radar target recognition with fractal technology
Author(s): Lianping Deng
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Paper Abstract

This paper presents an approach to radar target classification using fractal geometry techniques. The classification techniques used here exploit the geometric nature of the target and its effect on the backscattered signals. Target high range resolution radar signatures are transformed into fractals via fractal interpolation techniques, and their fractal dimensions are used to discriminate different targets. The results showed that different target have different targets. The results showed that different target have different fractal dimensions and thus can be discriminated according to their fractal dimensions. High range resolution fully-polarized radar backscattered signals of five aircrafts at different aspects are used to test the algorithm. The classification results presented in this paper are promising. The experiments indicate that the fractal dimension feature used in this paper seems to be independent of amplitude, thus is regarded as a promising new way for radar target classification. It also shows that this opens up an entirely new feature space which needs to be explored further in the field of radar target classification.

Paper Details

Date Published: 31 May 1996
PDF: 7 pages
Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241166
Show Author Affiliations
Lianping Deng, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 2759:
Signal and Data Processing of Small Targets 1996
Oliver E. Drummond, Editor(s)

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