Vol. 64
Latest Volume
All Volumes
PIERB 100 [2023] PIERB 99 [2023] PIERB 98 [2023] PIERB 97 [2022] PIERB 96 [2022] PIERB 95 [2022] PIERB 94 [2021] PIERB 93 [2021] PIERB 92 [2021] PIERB 91 [2021] PIERB 90 [2021] PIERB 89 [2020] PIERB 88 [2020] PIERB 87 [2020] PIERB 86 [2020] PIERB 85 [2019] PIERB 84 [2019] PIERB 83 [2019] PIERB 82 [2018] PIERB 81 [2018] PIERB 80 [2018] PIERB 79 [2017] PIERB 78 [2017] PIERB 77 [2017] PIERB 76 [2017] PIERB 75 [2017] PIERB 74 [2017] PIERB 73 [2017] PIERB 72 [2017] PIERB 71 [2016] PIERB 70 [2016] PIERB 69 [2016] PIERB 68 [2016] PIERB 67 [2016] PIERB 66 [2016] PIERB 65 [2016] PIERB 64 [2015] PIERB 63 [2015] PIERB 62 [2015] PIERB 61 [2014] PIERB 60 [2014] PIERB 59 [2014] PIERB 58 [2014] PIERB 57 [2014] PIERB 56 [2013] PIERB 55 [2013] PIERB 54 [2013] PIERB 53 [2013] PIERB 52 [2013] PIERB 51 [2013] PIERB 50 [2013] PIERB 49 [2013] PIERB 48 [2013] PIERB 47 [2013] PIERB 46 [2013] PIERB 45 [2012] PIERB 44 [2012] PIERB 43 [2012] PIERB 42 [2012] PIERB 41 [2012] PIERB 40 [2012] PIERB 39 [2012] PIERB 38 [2012] PIERB 37 [2012] PIERB 36 [2012] PIERB 35 [2011] PIERB 34 [2011] PIERB 33 [2011] PIERB 32 [2011] PIERB 31 [2011] PIERB 30 [2011] PIERB 29 [2011] PIERB 28 [2011] PIERB 27 [2011] PIERB 26 [2010] PIERB 25 [2010] PIERB 24 [2010] PIERB 23 [2010] PIERB 22 [2010] PIERB 21 [2010] PIERB 20 [2010] PIERB 19 [2010] PIERB 18 [2009] PIERB 17 [2009] PIERB 16 [2009] PIERB 15 [2009] PIERB 14 [2009] PIERB 13 [2009] PIERB 12 [2009] PIERB 11 [2009] PIERB 10 [2008] PIERB 9 [2008] PIERB 8 [2008] PIERB 7 [2008] PIERB 6 [2008] PIERB 5 [2008] PIERB 4 [2008] PIERB 3 [2008] PIERB 2 [2008] PIERB 1 [2008]
2015-12-09
A New Class of Adaptive CFAR Methods for Nonhomogeneous Environments
By
Progress In Electromagnetics Research B, Vol. 64, 145-170, 2015
Abstract
The paper introduces a new class of adaptive CFAR methods to cope with the problem of outliers due to the presence of clutter edges and interfering targets. A fundamental distinction between the proposed approach and existing adaptive CFAR approaches is that in order to maintain robust performance the former uses information on positions at which estimated outlier-free cells appear in the full reference window and the statistics of the sample in the cell under test. The performance of one of the possible implementations of new adaptive CFAR methods is studied and compared with that of an existing adaptive CFAR approach. The results show significant advantages of the proposed class of adaptive CFAR methods in both the false alarm regulation property and detection performance.
Citation
Anatolii A. Kononov Jin-Ha Kim Jin-Ki Kim Gyoungju Kim , "A New Class of Adaptive CFAR Methods for Nonhomogeneous Environments," Progress In Electromagnetics Research B, Vol. 64, 145-170, 2015.
doi:10.2528/PIERB15091603
http://www.jpier.org/PIERB/pier.php?paper=15091603
References

1. Richards, M. A., et al., Principles of Modern Radar, Vol. I: Basic Principles, Chapter 16, SciTech, Raleigh, NC, 2010.
doi:10.1049/sbra021e

2. Gandhi, P. P. and S. A. Kassam, "Analysis of CFAR processors in nonhomogeneous background," IEEE Transactions on Aerospace and Electronic Systems, Vol. 24, No. 4, 427-445, Jul. 1988.
doi:10.1109/7.7185

3. Himonas, S. D. and M. Barkat, "Automatic censored CFAR detection for nonhomogeneous environments," IEEE Transactions on Aerospace and Electronic Systems, Vol. 28, No. 1, 286-304, Jan. 1992.
doi:10.1109/7.135454

4. Pourmottaghi, A., M. R. Taban, and S. Gazor, "A CFAR detector in a nonhomogeneous weibull clutter," IEEE Transactions on Aerospace and Electronic Systems, Vol. 48, No. 2, 1747-1758, Apr. 2012.
doi:10.1109/TAES.2012.6178094

5. Barkat, M., S. D. Himonas, and P. K. Varshney, "CFAR detection for multiple target situations," IEE Proceedings, Vol. 136, Pt. F, No. 5, 193-209, Oct. 1989.

6. Magaz, B., A. Belouchrani, and M. Hamadouche, "Automatic threshold selection in OS-CFAR radar detection using information theoretic criteria," Progress In Electromagnetics Research B, Vol. 30, 157-175, 2011.
doi:10.2528/PIERB10122502

7. Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C: The art of Scientific Computing, 2nd Ed., Chapter 8, Cambridge University Press, 1992.

8. Rohling, H., "Radar CFAR thresholding in clutter and multiple target situations," IEEE Transactions on Aerospace and Electronic Systems, Vol. 19, No. 4, 608-621, Jul. 1983.

9. Shor, M. and N. Levanon, "Performances of order statistics CFAR," IEEE Transactions on Aerospace and Electronic Systems, Vol. 27, No. 2, 214-224, Mar. 1991.
doi:10.1109/7.78295

10. David, H. A. and H. N. Nagaraja, Order Statistics, 11-12, Wiley, New York, 2003.
doi:10.1002/0471722162