Efficient radar target classification using adaptive joint time-frequency processing.

This paper presents a new target recognition scheme via adaptive Gaussian representation, which uses adaptive joint time-frequency processing techniques. The feature extraction stage of the proposed scheme utilizes the geometrical moments of the adaptivity spectrogram. For this purpose, we have deri...

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Pubblicato in:	IEEE Transactions on antennas and propagation 48, 12 (2000).
Autore principale:	Kyung-Tae Kim
Natura:	Articolo
Lingua:	English
Soggetti:	Adaptive Gaussian representation. Adaptive joint time-frequency processing. Adaptivity spectrogram. Closed form expressions. Efficient radar target classification. Exact expressions. Feature extraction. Feature space dimension reduction. Feature vectors. Frequency domain. Geometrical moments. Joint time-frequency domain. Multilayer perceptron neural network. Performance. Principal component analysis. Target recognition. Thin-wire targets. Time-domain.