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

직교방식 디지털 고주파기억장치의 다중신호 재생성 효과

  • Lim, Joong-Soo (Division of Information Communication, Baekseok University)
  • Received : 2019.04.26
  • Accepted : 2019.08.20
  • Published : 2019.08.28


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.

JKOHBZ_2019_v9n8_134_f0001.png 이미지

Fig. 1. Block Diagram of one Channel DRFM

JKOHBZ_2019_v9n8_134_f0002.png 이미지

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)


Supported by : Baekseok University


  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
  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