@inproceedings{06e65e48c9994f6da0e449d4bebbfd63,
title = "Automatic feature extraction from insufficient JEM signals based on compressed sensing method",
abstract = "This paper presents an automatic feature extraction from insufficient JEM signals based on compressed sensing (CS) method. First, the CS method was employed to extract a refined spectrum from insufficient JEM signals. In the process of applying the CS method to JEM signals, we utilized the modified linear programming (LP) standard form of an optimization method. After converting the spectrum into the time domain signal using the inverse Fourier transform (IFT), the cepstrum function was used for acquiring the spool rate. Then, the blade domain signal can be obtained by rounding off operation after dividing the reconstructed frequencies by the spool rate. Finally, the final blade number was extracted based on the divisor-multiplier (DM) rule and the scoring concept. Its application to insufficient JEM signals demonstrated that the automatic feature extraction method improved the accuracy of JEM analysis and is expected to be effective from the perspective of radar resource management.",
author = "Yang, \{Woo Yong\} and Kim, \{Hyung Ju\} and Lee, \{Jong Hae\} and Yang, \{Sung Jun\} and Myung, \{Noh Hoon\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Asia-Pacific Microwave Conference, APMC 2015 ; Conference date: 06-12-2015 Through 09-12-2015",
year = "2016",
month = feb,
day = "18",
doi = "10.1109/APMC.2015.7413005",
language = "English",
series = "Asia-Pacific Microwave Conference Proceedings, APMC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Fan Meng and Wei Hong and Xiao-Wei Zhu and Guang-Qi Yang and Zhe Song",
booktitle = "2015 Asia-Pacific Microwave Conference, APMC 2015 - Proceedings",
}