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Improved waveform design for radar target classification
- Authors
- Kim, H. -S.; Goodman, N. A.; Lee, C. K.; Yang, S. -I.
- Issue Date
- Jun-2017
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Keywords
- power grids; adaptive filters; transforms; frequency deviation; voltage imbalance; synchronous reference frame generation; widely linear adaptive filtering algorithms; dynamic smart grids; nonideal oscillatory outputs; static electric grids; three-phase power system analysis; Park transforms; Clarke transforms; self-stabilising adaptive three-phase transforms
- Citation
- ELECTRONICS LETTERS, v.53, no.13, pp.879 - 880
- Indexed
- SCIE
SCOPUS
- Journal Title
- ELECTRONICS LETTERS
- Volume
- 53
- Number
- 13
- Start Page
- 879
- End Page
- 880
- ISSN
- 0013-5194
- Abstract
- The information- theoretic waveform for target classification based on spectral variance has been studied, and its advantages have been shown. The waveform design algorithm has a low computational load and can be applied to real- time applications. In looking for more sophisticated methods while keeping the advantages of an information- based approach, a new design algorithm by deriving a strict lower bound of the information measure is developed. The proposed design algorithm requires a small amount of calculation and shows better classification performance in terms of percentage of correct detection. The proposed method is compared with other methods, and the improved performance is shown in numerically generated graphs.
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Related Researcher
- LEE, CHAN KIL
- ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)