Efficient feature extraction from time-frequency analysis of transient response for target identification
SCIE
SCOPUS
- Title
- Efficient feature extraction from time-frequency analysis of transient response for target identification
- Authors
- Choi, IS; Kim, HT
- Date Issued
- 2000-09-20
- Publisher
- JOHN WILEY & SONS INC
- Abstract
- In this letter, we present a new feature extraction method, for radar target identification, that use both an early-time and a late-time response simultaneously. A time-frequency analysis is used for feature extraction from the transient target response, and the dimension of feature vectors is reduced by a novel method that we propose. Simulation for target identification is performed with three different swept-wing aircraft models. Results show that the proposed feature extraction method has good identification performance in the presence of white Gaussian noise. (C) 2000 John Wiley & Sons, Inc.
- Keywords
- transient response; short-time Fourier transform; continuous wavelet transform; feature extraction; MLP neural network; NEURAL NETWORKS; RADAR; FIELDS
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/19892
- DOI
- 10.1002/1098-2760(20000920)26:6<403::AID-MOP17>3.0.CO;2-3
- ISSN
- 0895-2477
- Article Type
- Article
- Citation
- MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, vol. 26, no. 6, page. 403 - 407, 2000-09-20
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