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An Identification Method of Radar Signals using Parallel Processor

병렬프로세서를 활용한 레이더 신호의 식별

  • Kim, Gwan-Tae (Dept. of Computer Science, Chungbuk National University) ;
  • Ju, Young-Kwan (Dept. of Computer Science, Chungbuk National University) ;
  • Park, Sang-Hwan (Dept. of Computer Science, Chungbuk National University) ;
  • Jeon, Joongnam (Dept. of Computer Science, Chungbuk National University)
  • 김관태 (충북대학교 소프트웨어학과) ;
  • 주영관 (충북대학교 소프트웨어학과) ;
  • 박상환 (충북대학교 소프트웨어학과) ;
  • 전중남 (충북대학교 소프트웨어학과)
  • Received : 2016.07.24
  • Accepted : 2017.03.21
  • Published : 2017.04.25

Abstract

ES (Electronic Warfare Support System) collects radar signals, and analyzes the signals about frequency, pulse width, PRI (Pulse Repetition Interval), and etc. and then ES compares analyzed result with known radar signals to identify them. But there are two disadvantage. One is that use of known radar signals is in comparing step only. The other is that calculating PRI needs many operations. In this paper proposes a parallel reference correlation algorithm that uses GPGPU (General Purpose Graphics Processing Units) and can identify what signals are in received radar signals without calculating PRI.

전자전지원 시스템(Electronic Warfare Support System)은 레이더 신호의 식별을 위해 수집한 신호의 주파수, 펄스폭, 펄스반복주기(PRI, Pulse Repetition Interval)등의 정보를 분석한 후 기존의 알려진 레이더 정보와 비교한다. 기존의 연구는 두 가지 단점이 있다. 첫 번째 단점은 기존의 알려진 레이더 정보를 마지막 비교단계에서만 비교한다는 점이다. 두 번째 단점은 PRI를 계산하기 위해 많은 연산이 필요하다는 점이다. 본 논문에서는 사전에 알려진 레이더 정보를 초기단계에서 활용하여 PRI를 계산하지 않고 수집된 신호에 미리 알고 있는 레이더 신호의 존재 여부를 식별하는 방법을 제안한다.

Keywords

References

  1. M. Frater, M. Ryan, "Electronic Warfare for the Digitized Battlefield," Artech House, 2001.
  2. F. Neri, "Inroduction to Electronic Defense System," Artech House, 2001.
  3. C. R. Benson, M. Frater, and M. J. Ryan, "Tactical Electronic Warfare," Argos Press, 2007.
  4. D. W. Lee, J. W. Han and W. D. Lee, "Adaptive radar pulses clustering based on density cluster window," International Technical Conference on Circuits/Systems Computers and Communications, pp. 1377-1380, 2008.
  5. Dong-Woen Lee, Jin-Woo Han, Won Don Lee, "A Kernel Density Signal Grouping Based on Radar Frequency Distribution," The Institute of Electronics and Information Engineers, vol. 48, no. 6, pp. 872-880, 2011.
  6. Joong-Soo Lim, Kyung-Ho Hong, Gab-Song Jun, Moon-Sung Chul, Chang-Jae Lee, Suhk- Hoon Suh, "Analysis of PRI Pattern with the Second Deviation of LASER Pulse Train," The Korea Contents Association, Vol. 8, No. 4, 2008.
  7. Yong-Woo Kim, Hai-Won Yang, "The Identification of Pulse Repetition Intervals Modulation using Markov Models Approach," The Korean Institute of Electrical Engineers, vol. 52D, no. 6, pp. 372-377, 2003. 6.
  8. Jong-Tae Lee, Young-Kwan Ju, Gwan-Tae Kim, Soong-Nam Jeon, "A Clustering Technique of Radar Signals using 4-Dimensional Features," The Institute of Electronics and Information Engineers, vol. 51, no. 10, pp. 137-144, 2014.10.
  9. Sin-Hyeok Seo, Hak-Yeol Sohn, Tai-Kyong Song, "An Echo Processor for Medical Ultrasound Imaging Using a GPU with Massively Parallel Processing Architecture," The Institute of Electronics and Information Engineers, pp. 871-872, 2008. 6.
  10. T. Kawakami, K. Okubi and N. Uchida, "High-Speed Digital Signal Processing Method for Detection of Repeating Earthquakes Using GPGPU-Acceleration," EGU General Assembly, 2013.
  11. Yong-Woo Kim, Hai-won Yang, "An Algorithm for Estimating Pulse Repetition Intervals of Stagger PRI Pulse Train Using 2D-TDOA Histogram," Automation and Systems Engineering, vol. 8, no. 8, pp. 673-681, 2002. https://doi.org/10.5302/J.ICROS.2002.8.8.673
  12. Joong-Soo Lim, Kyung-Ho Hong, Dukyung Lee, Dong Hoon Shin, Yong Hwan Kim, "An Identify of Two Step Stagger Signals Using the Second Deviation of Pulse Train," Korea Academia -Industrial cooperation Society, vol. 10, no. 7, 2009.