한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

  • 제39C권7호
  • /
  • Pages.521-527
  • /
  • 2014
  • /
  • 1226-4717(pISSN)
  • /
  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지
DOI QR코드

DOI QR Code

VTS 적용을 위한 펄스 적분 기법

Pulse Integration Technique for VTS Application

  • 투고 : 2014.04.30
  • 심사 : 2014.07.10
  • 발행 : 2014.07.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

해상관제서비스(VTS, Vessel Traffic Service)에서 사용되는 대부분의 해상감시레이더(SSR, Sea Surveillance Radar)는 마그네트론 기반의 Non-Coherent 방식이 사용되고 있으며, 표적에 대한 탐지 성능을 만족시키기 위하여 신호 대 잡음비(SNR, Signal to Noise Ratio) 개선 기능이 있는 펄스 적분(Pulse Integration) 기법을 사용하고 있다. 특히, 펄스 적분 기법은 신호 대 잡음비의 개선을 통하여 표적 탐지 성능에 중요한 영항을 미칠 뿐만 아니라, 신호 간섭(Interference) 및 스파이크 잡음(Noise Spike)을 개선하는 효과를 갖는다. 본 논문에서는 Non-Coherent 레이더를 사용하는 VTS 시스템에 펄스 적분 기법을 적용하기 위해 MATLAB을 이용한 모의실험을 수행하고, 자주 사용되는 펄스 적분 기법들 간의 성능 분석을 통해 최적의 펄스 적분 기법을 검증하고자 한다.

Most of Sea Surveillance Radar(SSR)s which are used in Vessel Traffic Service are Magnetron-based Non-Coherent Method and use the pulse integration technique having a signal to noise ratio enhancement function to satisfy a surveillance performance about target. Especially, Pulse Integration technique has an effect on target serveillance performance through signal to noise ratio, in addition, has an effect to improve a signal interference and noise spike. In this paper, we have a simulation experiment by using MATLAB simulation tool for appling a pulse integration technique in VTS system using a Non-Coherent radar, and verify an optimum pulse integration technique through out performance analysis between frequently use pulse integration techniques.

키워드

참고문헌

  1. B. Lee, J.-W. Han, and H.-S. Jo, "Design of situation awareness and aids to navigation structure of VTS for maritime safety," J. KICS, vol. 35, no. 7, pp. 1073-1080, 2010.
  2. J. Kim, J. Y. Choi, J. Na, H.-S. Jo, and B. Lee, "Aids to navigation service scenarios for next generation VTS through requirements analysis fo Domestic VTS operator," J. KICS, vol. 38C, no. 5, pp. 440-451, 2013.
  3. M. I. Skolnik, Introduction to radar systems, 3rd Ed., NY: McGraw-Hill, 2001.
  4. J. V. Harrington, "An analysis of the detection of repeated signals in noise by binary integration," IRE Trans. Inf. Theory, vol. 1, no. 1, pp. 1-9, Mar. 1955.
  5. H. Rohling, "Radar CFAR thresholding in clutter and multiple target situation," IEEE Trans. Aerospace and Electronic Systems, vol. 19, no. 4, pp. 608-621, Jul. 1983.
  6. J. A. Ritcey, "Performance analysis of the censored mean-level detector," IEEE Trans. Aerospace and Electronic Systems, vol. 22, no. 4, pp. 443-454, Jul. 1986.
  7. G. J. Linde, "Interference rejection and detection performance of the smallest of circuit," NRL report 9243, Washington DC, Nov. 1989.
  8. N. Levanon, "Censored video integration in radar detection," in Proc. IEEE Int. Radar Conf., pp. 511-513, Arlington, Virginia, May 1990.
  9. N. Levanon, "Analytic comparison of four robust algorithms for post-detection integration," IEE Proc. F (Radar and Signal Processing), vol. 139, no. 1, pp. 67-72, Feb. 1992. https://doi.org/10.1049/ip-f-2.1992.0008