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2018-06-22

An Investigation of the Generalised Range-Based Detector in Pareto Distributed Clutter

By Graham V. Weinberg and Charlie Tran
Progress In Electromagnetics Research C, Vol. 85, 1-8, 2018
doi:10.2528/PIERC18042601

Abstract

The purpose of this paper is to examine whether a generalised range-based sliding window detector provides any improved detection performance relative to a single order statistic based counterpart. This is for non-coherent target detection in an X-band maritime surveillance radar environment, and as such the intensity clutter is modelled by a Pareto distribution. It will be demonstrated mathematically that a single order statistic detector is in fact sucient. Some numerical examples are also provided to clarify the theoretical results.

Citation


Graham V. Weinberg and Charlie Tran, "An Investigation of the Generalised Range-Based Detector in Pareto Distributed Clutter," Progress In Electromagnetics Research C, Vol. 85, 1-8, 2018.
doi:10.2528/PIERC18042601
http://jpier.org/PIERC/pier.php?paper=18042601

References


    1. Finn, H. M. and R. S. Johnson, "Adaptive detection model with threshold control as a function of spatially sampled clutter-level estimates," RCA Review, Vol. 29, 414-464, 1968.

    2. Nitzberg, R., "Low-loss almost constant false-alarm rate processors," IEEE Transactions on Aerospace and Electronic Systems, Vol. 15, 719-723, 1979.
    doi:10.1109/TAES.1979.308861

    3. Gregers Hanson, V. and J. H. Sawyers, "Detectability loss due to greatest of selection in a cell-averaging CFAR," IEEE Transactions on Aerospace and Electronic Systems, Vol. 16, 115-118, 1980.
    doi:10.1109/TAES.1980.308885

    4. Weiss, M., "Analysis of some modified cell-averaging CFAR processers in multiple-target situations," IEEE Transactions on Aerospace and Electronic Systems, Vol. 18, 102-114, 1982.
    doi:10.1109/TAES.1982.309210

    5. Gandhi, P. P. and S. A. Kassam, "Analysis of CFAR processors in nonhomogeneous background," IEEE Transactions on Aerospace and Electronic Systems, Vol. 24, 427-445, 1988.
    doi:10.1109/7.7185

    6. Minkler, G. and J. Minkler, CFAR: The Principles of Automatic Radar Detection in Clutter, Magellan, Baltimore, 1990.

    7. Qin, X., S. Zhou, H. Zou, and G. Gao, "A CFAR detection algorithm for generalized Gamma distributed background in high-resolution SAR images," IEEE Geoscience and Remote Sensing Letters, Vol. 10, 806-810, 2013.
    doi:10.1109/LGRS.2012.2224317

    8. Zhang, R., W. Sheng, and X. Ma, "Improved switching CFAR detector for non-homogeneous environments," Signal Processing, Vol. 93, 35-48, 2013.
    doi:10.1016/j.sigpro.2012.06.015

    9. Weinberg, G. V., "Management of interference in Pareto CFAR processes using adaptive test cell analysis," Signal Processing, Vol. 104, 264-273, 2014.
    doi:10.1016/j.sigpro.2014.04.025

    10. Zaimbashi, A., "An adaptive cell averaging-based CFAR detector for interfering targets and clutter-edge situations," Digital Signal Processing, Vol. 31, 59-68, 2014.
    doi:10.1016/j.dsp.2014.04.005

    11. Baadeche, M. and F. Soltani, "Performance analysis of ordered CFAR detectors for MIMO radars," Digital Signal Processing, Vol. 44, 47-57, 2015.
    doi:10.1016/j.dsp.2015.05.010

    12. Dai, H., L. Du, Y. Wang, and Z. Wang, "A modified CFAR algorithm based on object proposals for ship target detection in SAR images," IEEE Geoscience and Remote Sensing Letters, Vol. 13, 1925-1929, 2016.
    doi:10.1109/LGRS.2016.2618604

    13. Kong, L., B. Wang, G. Cui, and X. Yang, "Performance prediction of OS-CFAR for generalized Swerling-Chi fluctuating targets," IEEE Transactions on Aerospace and Electronic Systems, Vol. 52, 492-500, 2016.
    doi:10.1109/TAES.2015.140967

    14. Tao, D., A. P. Doulgeris, and C. Brekke, "A segmentation-based CFAR detection algorithm using truncated statistics," IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, 2887-2898, 2016.
    doi:10.1109/TGRS.2015.2506822

    15. Yu, W., Y. Wang, H. Liu, and J. He, "Superpixel-based CFAR target detection for high-resolution SAR images," IEEE Geoscience and Remote Sensing Letters, Vol. 13, 730-734, 2016.
    doi:10.1109/LGRS.2016.2540809

    16. Bakry, E. M., "Heterogeneous performance analysis of the new model of CFAR detectors for partially-correlated χ2-targets," Journal of Systems Engineering and Electronics, Vol. 29, 1-17, 2018.

    17. Zhao, W., J. Li, X. Yang, Q. Peng, and J. Wang, "Innovative CFAR detector with effective parameter estimation method for generalised Gamma distribution and iterative sliding window strategy," IET Image Processing, Vol. 12, 60-69, 2018.
    doi:10.1049/iet-ipr.2017.0225

    18. Ai, J., X. Yang, J. Song, Z. Dong, L. Jia, and F. Zhou, "An adaptively truncated clutter-statistics-based two-parameter CFAR detector in SAR imagery," IEEE Journal of Oceanic Engineering, Vol. 43, 267-279, 2018.
    doi:10.1109/JOE.2017.2768198

    19. Lu, S., W. Yi, W. Liu, G. Cui, L. Kong, and X. Yang, "Data-dependent clustering-CFAR detector in heterogeneous environment," IEEE Transactions on Aerospace and Electronic Systems, Vol. 54, 476-485, 2018.
    doi:10.1109/TAES.2017.2740065

    20. Balleri, A., A. Nehorai, and J. Wang, "Maximum likelihood estimation for compound-gaussian clutter with inverse-Gamma texture," IEEE Transactions on Aerospace and Electronic Systems, Vol. 43, 775-779, 2007.
    doi:10.1109/TAES.2007.4285370

    21. Farshchian, M. and F. L. Posner, "The Pareto distribution for low grazing angle and high resolution X-band sea clutter," X-band sea clutter, 789-793, 2010.

    22. Weinberg, G. V., "Assessing Pareto fit to high resolution high grazing angle sea clutter," IET Electronics Letters, Vol. 47, 516-517, 2011.
    doi:10.1049/el.2011.0518

    23. Weinberg, G. V., "Constant false alarm rate detectors for Pareto clutter models," IET Radar, Sonar and Navigation, Vol. 7, 153-163, 2013.
    doi:10.1049/iet-rsn.2011.0374

    24. Weinberg, G. V., Radar Detection Theory of Sliding Window Processes, CRC Press, Florida, 2017.
    doi:10.1201/9781315154015

    25. Weinberg, G. V., "Trimmed geometric mean order statistic CFAR detector for Pareto distributed clutter Signal," Image and Video Processing, 2018 (in press).

    26. Levanon, N. and M. Shor, "Order statistics CFAR for Weibull background," IEE Proceedings F --- Radar and Signal Processing, Vol. 137, 157-162, 1990.
    doi:10.1049/ip-f-2.1990.0023

    27. Weinberg, G. V., "Examination of classical detection schemes for targets in Pareto distributed clutter: Do classical CFAR detectors exist, as in the Gaussian case?," Multidimensional Systems and Signal Processing, Vol. 26, 599-617, 2015.
    doi:10.1007/s11045-013-0275-y

    28. Weinberg, G. V. and A. Alexopoulos, "Analysis of a dual order statistic constant false alarm rate detector," IEEE Transactions on Aerospace and Electronic Systems, Vol. 52, 2567-2574, 2016.
    doi:10.1109/TAES.2016.150508

    29. Weinberg, G. V., "Assessing detector performance, with application to Pareto coherent multilook radar detection," IET Radar, Sonar and Navigation, Vol. 7, 401-412, 2013.
    doi:10.1049/iet-rsn.2012.0127