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Improved waveform design for radar target classification

Title
Improved waveform design for radar target classification
Author
이찬길
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
Issue Date
2017-06
Publisher
INST ENGINEERING TECHNOLOGY-IET
Citation
ELECTRONICS LETTERS, v. 53, No. 13, Page. 879-880
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.
URI
http://digital-library.theiet.org/content/journals/10.1049/el.2017.0536https://repository.hanyang.ac.kr/handle/20.500.11754/72165
ISSN
0013-5194; 1350-911X
DOI
10.1049/el.2017.0536
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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