DOI QR코드

DOI QR Code

OS CFAR Computation Time Reduction Technique to Apply Radar System in Real Time

레이다 시스템 실시간 적용을 위한 OS CFAR 연산 시간 단축 방안

  • Received : 2018.08.20
  • Accepted : 2018.10.01
  • Published : 2018.10.31

Abstract

The CFAR algorithm is mainly used for target detection in radar systems. In particular, OS CFAR is used in a non-uniform noise environment. However, it requires a large amount of computation, because it should sort reference cells in ascending order. This makes it difficult to apply the radar system in real time. In this paper, we describe how to reduce the computational burden of OS CFAR. We compared the power of the test cell and reference cell to determine only the presence or absence of target detection. The common reference cells overlapping in the reference cells of the three test cells are obtained. We first compare the test cell with the highest power value among the three test cells to the common reference cells. Next, we compare each test cell to general reference cells, excluding the common reference cells. The computation time is shortened by reducing the power comparison computation amounts.

CFAR(Constant False Alarm Rate)는 레이다 시스템에서 표적 탐지에 주요 사용된다. 그 중에서 OS(Ordered Statistic) CFAR는 비균일 잡음환경에서 사용된다. 그러나 OS CFAR는 참조 셀을 오름차순으로 정렬하여 임계값을 계산하므로 많은 연산량이 필요하다. 이로 인하여 실시간 적용에 어려움이 있다. 본 논문에서는 OS CFAR의 연산량을 줄이는 방안을 서술한다. 단순 표적 유무만 판단하기 위하여 참조 셀들을 오름차순 정렬하는 대신 참조 셀과 크기 비교하는 방식으로 수행하였다. 그리고 3개의 테스트 셀을 묶어 구역을 나누고, 구역 내에서 공통 참조 셀을 구하였다. 공통 참조 셀과 테스트 셀과의 크기 비교를 우선 수행함으로써 연산시간을 단축한다.

Keywords

References

  1. K. H. Lee, "A study on target direction and range estimation using radar single pulse," The Journal of The Institute of Internet, Broadcasting and Communication, vol. 14, no. 6, pp. 107-112, Dec. 2014. https://doi.org/10.7236/JIIBC.2014.14.6.107
  2. S. J. Shin, "A study of efficient CFAR algorithm," The Journal of Korean Institute of Electromagnectic Engineering and Science, vol. 25, no. 8, pp. 849-856, Aug. 2014. https://doi.org/10.5515/KJKIEES.2014.25.8.849
  3. E. G. Hyun, W. J. Oh, and J. H. Lee, "Fast CA-CFAR processor design with hardware complexity," Journal of the Institute of Electronics Engineers of Korea SP, vol. 48, no. 5, pp. 123-128, Nov. 2011.
  4. B. R. Mahafza, Radar Systems Analysis and Design Using Matlab, 2nd ed. CRC Press, 2000.
  5. M. Shbat, V. Tuzlukov, "Evaluation of detection performance under employment of the generalized detector in radar sensor systems," Radioengineering, vol. 23, no. 1, pp. 50-65, Apr. 2014.
  6. D. Ivkovic, B. Zrnic, M. Andric, and D. Nikolic, "CFAR detector models in receiver of the software defined radar," in 5th International Scientific Conference on the Defensive Technologies, Sep. 2012, pp. 388-393.
  7. B. Magaz, A. Belouchrani, and M. Hamadouche, "Automatic threshold selection in OS-CFAR radar detection using information theoretic criteria," Progress in Electromagnetics Research B, vol. 30, pp. 157-175, 2011. https://doi.org/10.2528/PIERB10122502