융합정보논문지 (Journal of Convergence for Information Technology)

중소기업융합학회 (Convergence Society for SMB)
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직교방식 디지털 고주파기억장치의 다중신호 재생성 효과

Multi-Signal Regeneration Effect of Quadrature Digital Radio-Frequency Memory

  • Lim, Joong-Soo (Division of Information Communication, Baekseok University)
  • 투고 : 2019.04.26
  • 심사 : 2019.08.20
  • 발행 : 2019.08.28
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초록

본 논문은 직교방식(quadrature) 디지털 고주파기억장치의 다중신호 재생성 효과를 기술하였다. 대부분의 고주파기억장치는 단일 신호를 저장한 후 재생성을 잘하지만 다중신호를 저장한 후 재생성할 경우에는 스프리어스 신호가 크게 나타난다. 직교방식 디지털 고주파기억장치는 I채널과 Q채널로 구성되어 있으며 다중신호 재생성시 스프리어스 신호를 크게 줄일 수 있다. 스프리어스 신호크기는 고주파기억장치에서 저장하는 데이터의 비트 수에 따라 달라지며, 본 논문에서는 다중신호에 대해서 고주파기억장치의 저장데이터의 비트 수에 따라 스프리어스 신호의 크기를 구해서 고주파기억장치의 용도에 따른 신호 재생성 비트 수를 구하였다. 본 연구 결과 4 비트 직교방식 디지털 고주파 기억장치는 -20dB 이하의 스프리어스 출력을 얻을 수 있어서 전자전 장비의 신호분석과 재밍장치 개발에 크게 기할 것으로 판단된다.

This paper describes the effect of multiple signal regeneration in quadrature digital radio frequency memory(DRFM). Single channel DRFM have good reproducibility after storing a single signal. However, when reproduced after storing multiple signals, the spurious signal is large. The quadrature DRFM consists of I and Q channels, which can greatly reduce the spurious signal. The amplitude of the spurious signal depends on the number of bits of data stored in the DRFM. In this paper, we have obtained the number of bits of signal regeneration according to the application of radio frequency memory by obtaining the size of the spurious signal according to the number of bits of the stored data of the DRFM for multiple signals. As a result of this study, 4 bits quadrature DRFM can achieve a spurious output of less than -20dB, which is used for 4 signals. Those are expected to greatly contribute to the signal analysis of electronic warfare equipment and the development of jamming device.

키워드

JKOHBZ_2019_v9n8_134_f0001.png 이미지

Fig. 1. Block Diagram of one Channel DRFM

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Fig. 2. Block Diagram of Quadrature DRFM

JKOHBZ_2019_v9n8_134_f0003.png 이미지

Fig. 3. Spectrum of Quadrature DRFM (signal=1, bits=1)

JKOHBZ_2019_v9n8_134_f0004.png 이미지

Fig. 4. Spectrum of Quadrature DRFM (signal=2, bits=1)

JKOHBZ_2019_v9n8_134_f0005.png 이미지

Fig.5. Spectrum of Quadrature DRFM (signal=3, bits=1)

JKOHBZ_2019_v9n8_134_f0006.png 이미지

Fig. 6. Spectrum of Quadrature DRFM (signal=4, bits=1)

JKOHBZ_2019_v9n8_134_f0007.png 이미지

Fig. 7. Spectrum of Quadrature DRFM (signal=4, bits=3)

JKOHBZ_2019_v9n8_134_f0008.png 이미지

Fig. 8. Spectrum of Quadrature DRFM (signal=4, bits=4)

참고문헌

  1. D. Curtis Schleher. (1999). Electronic Warfare in the Information Age, Artech House, Boston, 293-302.
  2. D. L. Adamy. (2015). EW 104 EW against a New Generation of Threats, Artech House, 299-300
  3. Filippo Neri. (2001). Introduction to electronic Defense Systems, 2nd ed. , Artech House, Boston, 402-405
  4. J. S. Lim & G. S. Chae. (2005). Analysis of Wideband Digital Radio Frequency Signal Reproduction Characteristics. Journal of Korea Academia-Industrial Cooperation Society, 6(5), 401-406.
  5. J. J. Kang. (2011). A Method for Reduction of Spurious Signal in Digital RF memory. Journal of Electromagnetic Engineering and Science, 22(7), 669-674.
  6. G. Richard. (1993). Electronic Intelligence: The Analysis of Radar Signals . Artech House, Boston, 193-197.
  7. J. B. Y. Tsui. (1989). Digital microwave receivers: theory and concepts. Artech House, Boston, 160-167.
  8. J. S. Lim. (2019). Jamming Effect of Phase-Coded Pulse Compression Radar. Journal of Convergence for Information Technology, 9(5), 125-129. DOI : 10.22156/CS4SMB.2019.9.5.125
  9. A. D. Mattino. (2012) Introduction to Mordern EW Systems, Artech House, 272-274.
  10. D. Curtis Schleher. (1999). Electronic Warfare in the Information Age, Artech House, Boston, 242-250.
  11. J. S. Lim. (2017). Data Convergence of Circular Array Correlative Interferometer Direction finding with 7 Antennas. Journal of the Korea Convergence Society, 8(11), 1-6 https://doi.org/10.15207/JKCS.2017.8.11.001
  12. Y. H. Kim, J. S. Lim, G. S. Chae & K. C. Kim. (2015). An investigation of the Azimuth Error for Correlative Interferometer Direction Finding. Journal of the Korea Convergence Society, 6(5), 249-255. DOI : 10.15207/jkcs.2015.6.5.249
  13. S. Y. Oh, K. C. Cho, J. H. Kim.. J. B. Yun & K. J. Han (2013). A Self-Organizing Angle-based Routing Protocol for Urban Environments. Journal of the Society of Digital Policy & Management, 11(10), 379-385.
  14. B. R. Mahafaza. (2005). Radar Systems Analysis and Design Using Matlab(2nd Edition), Chapman and Hall, 297-313,
  15. J. S. Lim, Y. H. Kim & K. C. Kim. (2017). A Simulator for Analyzing of Correlative Interferometer Direction Finder. Journal of the SMB Convergence Society, 7(2), 53-58. DOI : 10.22156/cs4smb.2017.7.2.053