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OSR CFAR Robust to Multiple Underwater Target Environments  

Hong, Seong-Won (School of Electronics Engineering, Kyungpook National University)
Han, Dong-Seog (School of Electronics Engineering, Kyungpook National University)
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Abstract
Constant false alarm rate (CFAR) is an automatic detection algorithm for active sonar system. Among several CFAR algorithms, ordered statistics (OS) CFAR has the best performance over cell averaging (CA), smallest of (SO), greatest of (GO) algorithms at non-homogeneous environments. However, OS CFAR has the disadvantage of bad detection performance in multiple target conditions. We suggest an ordered statistics ratio (OSR) CFAR algorithm that is robust to multiple target environments. The proposed and conventional schemes are compared with computer simulations.
Keywords
CFAR; Multi-Target; Automatic; Detection;
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1 M. Weiss, "Analysis of Some Modified Cell-Averaging CFAR Processors in Multiple-Target Situations", IEEE Transactions on Aerospace and Electronic Systems, vol. AES-18, No. 1, pp. 102-114, Jan. 1982.   DOI
2 H. Rohling, "Radar CFAR Thresholding in Clutter and Multiple Target Situations", IEEE Trans. on Aerospace and Electronic Systems, vol. 19, pp. 608-621, July 1983.
3 G. Casella and R. L. Berger, "Statistical Inference", Thomson Learning, pp. 226-231, 2002.
4 B. Kalyan and A. Balasuriya, "Sonar based automatic target detection scheme for underwater environments using CFAR techniques: a comparative study" 2004 International Symposium on Underwater Technology, pp. 33-37, Taipei, 2004.
5 R. O. Nielson, "Sonar Signal Processing", Artech House, pp. 100-103, 1991.
6 P. P. Gandhi and S. A. Kassam, "Analysis of CFAR Processors in Nonhomogeneous Background", IEEE Trans. on Aerospace and Electronic Systems, vol.24, pp.427-445, July 1988.   DOI