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http://dx.doi.org/10.5515/KJKIEES.2018.29.10.791

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

Kong, Young-Joo (LIG Nex1 Co., Ltd.)
Woo, Seon-Keol (LIG Nex1 Co., Ltd.)
Park, Sungho (LIG Nex1 Co., Ltd.)
Shin, Seung-Yong (LIG Nex1 Co., Ltd.)
Jang, Youn Hui (Agency for Defense Development)
Yang, Eunjung (Agency for Defense Development)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.29, no.10, 2018 , pp. 791-798 More about this Journal
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.
Keywords
Radar; CA-CFAR; OS-CFAR; Target Detection; Computation Time;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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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.   DOI
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.   DOI
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.   DOI