Browse > Article
http://dx.doi.org/10.5515/KJKIEES.2019.30.3.252

Chopping Frequency Extraction of JEM Signal Using MUSIC Algorithm  

Song, Won-Young (School of Electrical Engineering, KAIST)
Kim, Hyung-Ju (School of Electrical Engineering, KAIST)
Kim, Sung-Tai (Hanwha Systems Co., Ltd.)
Shin, In-Seon (Hanwha Systems Co., Ltd.)
Myung, Noh-Hoon (School of Electrical Engineering, KAIST)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.30, no.3, 2019 , pp. 252-259 More about this Journal
Abstract
Jet engine modulation(JEM) signals are widely used in the field of target recognition along with high-range resolution profile and inverse synthetic aperture radar because they provide specific information of the jet engine. To obtain the number of blades of the jet engine, the chopping frequency proportional to the number of blades must be extracted. In the conventional chopping frequency extraction method, an initial threshold value is defined and a method of detecting the chopping peak is used. However, this detection method takes time depending on the signal due to repetitive detection. Thus, in this study, we proposed to extract the chopping frequency using MUltiple SIgnal Classification(MUSIC) algorithm. We applied the MUSIC algorithm to a given JEM signal to find the chopping frequency and determine the blade number candidates. We also applied the MUSIC algorithm to other chopping frequency extractions to determine the score of the candidate groups. Unlike the conventional detection algorithm, which requires repetitive frequency detection, MUSIC algorithm quickly detects the accurate chopping frequency and reduces the calculation time.
Keywords
Multiple Signal Classification; Chopping Frequency Extraction; Jet Engine Modulation; Radar Target Recognition;
Citations & Related Records
연도 인용수 순위
  • Reference
1 P. Tait, Introduction to Radar Target Recognition, Sonar and Navigation Series 18, London, IET Radar, 2005.
2 M. R. Bell, R. A. Grubbs, "JEM modeling and measurement for radar target identification," IEEE Transactions on Aerospace and Electronic Systems, vol. 29, no. 1, pp. 73-87, Jan. 1993.   DOI
3 S. Cuomo, P. F. Pellegrini, and E. Piazza, "Model validation for 'jet engine modulation' phenomenon," Electronics Letters, vol. 30, no. 24, pp. 2073-2074, Nov. 1994.   DOI
4 H. Lim, J. H. Yoo, C. H. Kim, K. I. Kwon, and N. H. Myung, "Radar cross section measurement of a realistic jet engine structure with rotating parts," Journal of Electromagnetic Waves and Applications, vol. 25, no. 7, pp. 999-1008, 2011.   DOI
5 J. H. Park, H. Lim, and N. H. Myung, "Analysis of jet engine modulation effect with extended Hilbert-Huang transform," IET Electronics Letters, vol. 49, no. 3, pp. 215-216, 2013.   DOI
6 J. H. Park, W. Y. Yang, J. W. Bae, S. C. Kang, C. H. Kim, and N. H. Myung, "Extraction of jet engine modulation component weakly present in measured signals for enhanced radar target recognition," Journal of Electromagnetic Waves and Applications, vol. 28, no. 8, pp. 963-975, 2014.   DOI
7 W. Y. Yang, J. H. Park, J. W. Bae, N. H. Myung, and C. H. Kim, "Automatic algorithm for estimating the jet engine blade number from the radar target signature of aircraft targets," IEEE Aerospace and Electronic Systems Magazine, vol. 90, no. 7, pp. 18-29, Jul. 2015.
8 W. Y. Yang, J. H. Park, W. Y. Song, and N. H. Myung, "Robust and fast algorithm for estimating fundamental periodicity of jet engine modulation signals," IET Radar, Sonar & Navigation, vol. 10, no. 7, pp. 1286-1294, 2016.   DOI
9 R. O. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Transactions on Antennas and Propagation, vol. 34, no. 3, pp. 276-280, Mar. 1986.   DOI
10 B. D. Rao, K. S. Hari, "Performance analysis of root-MUSIC," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, no. 12, pp. 1939-1949, Dec. 1989.   DOI
11 Q. S. Ren, A. J. Willis, "Fast root-MUSIC algorithm," Electronics Letters, vol. 33, no. 6, pp. 450-451, Mar. 1997.   DOI