DOI QR코드

DOI QR Code

Azimuth Accuracy of Correlative Interferometer Direction Finder on Airborne Scale-down Model

항공기 축소모델의 상관형 위상비교 방향탐지장치의 방위각 정확도

  • Lim, Joong-Soo (Division of Information Communication, Baekseok University)
  • 임중수 (백석대학교 정보통신학부)
  • Received : 2018.07.18
  • Accepted : 2018.10.20
  • Published : 2018.10.28

Abstract

This paper describes the azimuth accuracy of correlative interferometer direction finder on a scaled down airplane model. When the antennas are placed on the bottom of an airplane, reflection signals caused by an aircraft structure are arise and caused an azimuth error. In this paper, the F-16 fighter scale-down model was made to 5:1, and five antennas were placed on the bottom of the model. The accuracy was made by numerically analyzing the phases of the radio waves received by the five antennas when the signal of emitter was transmitted on $0-360^{\circ}$ azimuth angles. The azimuth error of the correlative interferometer direction finder on the model was measured to be less than $1.0^{\circ}$ when SNR was larger then 3dB, and it could be very useful for the design of the direction finder on airplane.

본 논문은 항공기 축소모델에 장착된 상관형 위상비교 방향 탐지장치의 방위각 측정 정확도에 대해서 기술하였다. 항공기 하부면에 안테나를 설치하면 날개 등에 의한 전파 반사가 일어나서 방위각 측정오차가 발생한다. 본 연구에서는 F-16 전투기 5:1 축소 모델의 하부면에 5개 안테나를 원형으로 배치한 다음에 $0-360^{\circ}$ 방위각에서 $1^{\circ}$ 간격으로 전파를 송신할 때 5개 안테나에 수신되는 전파의 위상을 수치해석으로 구한 다음 상관형 위상비교방식으로 데이터를 융합하여 방위각 측정 정확도를 계산하였다. F-16 전투기 축소 모델의 상관형 위상비교방식의 방위각 측정오차는 신호잡음세기가 3dB 이상인 경우 평균 $1.0^{\circ}$ 이하로 양호하게 나타나서 항공기용 상관형 위상비교 방향 탐지장치 설계에 매우 유용하게 활용할 수 있을 것으로 판단된다.

Keywords

References

  1. Filippo Neri, (2001). Introduction to electronic Defense Systems, 2nd ed., Artech House, Boston, 324-34430.
  2. G. D. Curtis Schleher. (1999). A Electronic Warfare in the Information Age, Artech House, Boston, 361-386.
  3. 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
  4. J. S. Lim, (2017). Design of Wideband RF Frequency Measurement System with EP2AGX FPGA. Journal of the Korea Convergence Society, 8(7), 1-6 https://doi.org/10.15207/JKCS.2017.8.7.001
  5. Sathish Chandran Editor. (2005). Advanced in Direction-of-Arrival Estimation, Artech House, Boston, 241-258.
  6. Andrea De Martino. (2012). Introduction to Modern EW Systems, Artech House, Boston, 221-244.
  7. J. S. Lim & G. S. Chae. (2016). Analysis of Direction Finding Accuracy for Amplitude-Phase Comparison and Correlative Interferometer Method. Journal of the Society of Digital Policy & Management, 14(1), 195-201.
  8. J. H. Lee & J. M. Woo. (2014). The Direction Finding Ambiguity Analysis for 3 Element and 4 Element Phase Interferometer DF System. Journal of the Korea Institute of Military Science and Technology, 17(4), 544-550. https://doi.org/10.9766/KIMST.2014.17.4.544
  9. http://www.cobham.com/advanced-electronic-solutions/integrated-electronic-solutions/electronic-warfare-systems/electronic-surveillance-es-subsystems/
  10. Libero Dinoi, Antonio Di Vito & Graziano Lubello. (2008). Direction Finding of ground based emitters from airborne platforms. 2008 IEEE Radar Conference, 1-6.
  11. Xun Yang & Cui Zhan-zhong. (2009). Two-Dimensional Circular Array Real-Time Phase Interferometer Algorithm and its Correction. 2nd International Congress on Image and Signal Processing, 1-4.
  12. Wiley R., (2006). ELINT : The Interception and Analysis of Radar Signals, Boston, Attech House, 131-135.
  13. 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. https://doi.org/10.15207/JKCS.2015.6.5.249
  14. 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.
  15. J. S. Lim, G. S. Chae, Y. H. Kim & K. C. Kim. (2017). Azimuth Accuracy Test of Phase Comparison Direction Finding Method Using F-16 Fighter Scale-down Model. Journal of the SMB Convergence Society, 7(5), 83-88.
  16. 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.