volume | PIER Journals

Abstract

In this paper, the range-spread target detection in compound Gaussian clutter with reciprocal of the square root of gamma (RSRG) texture is investigated. The RSRG distribution has been proved to be a good model for texture component of extremely heterogeneous radar clutter. Taking this compound Gaussian model as a spherically invariant random process (SIRP), the Neyman-Pearson optimal detector for the range-spread target detection with known target amplitude is derived firstly. By replacing the ideal target amplitude with its maximum likelihood estimate (MLE), the generalized likelihood ratio test (GLRT) is then obtained. The statistical property of the texture component is taken into account in both of these two detectors, which makes the detectors computationally complicated. A suboptimal generalized likelihood ratio test based on order statistics (OS-GLRT) is finally proposed by substituting the texture component with its MLE. The OS-GLRT makes use of some largest observations from the range cells occupied by the most likely target scatters. The performance assessment conducted by Monte Carlo simulation validates the effectiveness of the proposed detectors.

1. Kelly, E. J., "An adaptive detection algorithm," IEEE Transactions on Aerospace and Electronic Systems, Vol. 22, No. 1, 115-127, 1986.
doi:10.1109/TAES.1986.310745 Google Scholar

2. Robey, F. C., et al. "IEEE Transactions on Aerospace," IEEE Transactions on Aerospace and Electronic Systems, Vol. 28, No. 1, 208-216, 1992.
doi:10.1109/7.135446 Google Scholar

3. Hansen, V. G., "Constant false alarm rate processing in search radars," Proceedings of the IEEE 1973 International Radar Conference, 325-332, 1973. Google Scholar

4. Zhou, W., J. T. Wang, H. W. Chen, and X. Li, "Signal model and moving target detection based on MIMO synthetic aperture radar," Progress In Electromagnetics Research, Vol. 131, 311-329, 2012. Google Scholar

5. Hao, C., F. Bandiera, J. Yang, D. Orlando, S. Yan, and C. Hou, "Adaptive detection of multiple point-like targets under conic constraints," Progress In Electromagnetics Research, Vol. 129, No. 250, 231, 2012. Google Scholar

6. Hatam, M., A. Sheikhi, and M. A. Masnadi-Shirazi, "Target detection in pulse-train MIMO radars applying ICA algorithms," Progress In Electromagnetics Research, Vol. 122, 413-435, 2012.
doi:10.2528/PIER11101206 Google Scholar

7. Tian, B., D. Y. Zhu, and Z. D. Zhu, "A novel moving target detection approach for dual-channel SAR system," Progress In Electromagnetics Research, Vol. 115, 191-206, 2011. Google Scholar

8. Gao, F., A. Ru, J. Sun, and A. Hussain, "A novel SAR target detection algorithm based on contextual knowledge," Progress In Electromagnetics Research,", Vol. 142, 123 -140, 2013. Google Scholar

9. Mohammadpoor, M., R. S. A. Raja Abdullah, A. Ismail, and A. F. Abas, "A circular synthetic aperture radar for on-the-ground object detection," Progress In Electromagnetics Research, Vol. 122, 269-292, 2012.
doi:10.2528/PIER11082201 Google Scholar

10. Wehner, D. R., High-resolution Radar, Artech House, 1995.

11. Hughes, P. K., "A high-resolution radar detection strategy," IEEE Transactions on Aerospace and Electronic Systems, Vol. 19, No. 5, 663-667, 1983.
doi:10.1109/TAES.1983.309368 Google Scholar

12. Van Trees, H. L., "Detection Estimation and Modulation Theory," Wiley, 1971. Google Scholar

13. Gerlach, K., M. Steiner, and F. C. Lin, "Detection of a spatially distributed target in white noise," IEEE Signal Processing Letters, Vol. 4, No. 7, 198-200, 1997.
doi:10.1109/97.596885 Google Scholar

14. Maio, A. D., A. Farina, and K. Gerlach, "Adaptive detection of range spread targets with orthogonal rejection," IEEE Transactions on Aerospace and Electronic Systems, Vol. 43, No. 2, 738-752, 2007.
doi:10.1109/TAES.2007.4285365 Google Scholar

15. Gerlach, K. and M. J. Steiner, "Adaptive detection of range distributed targets," IEEE Transactions on Signal Processing, Vol. 47, No. 7, 1844-1851, 1999.
doi:10.1109/78.771034 Google Scholar

16. Gerlach, K., "Spatially distributed target detection in non-Gaussian clutter ," IEEE Transactions on Aerospace and Electronic Systems, Vol. 35, No. 3, 926-934, 1999.
doi:10.1109/7.784062 Google Scholar

17. He, Y., T. Jian, et al. "Novel range-spread target detectors in non-Gaussian clutter," IEEE Transactions on Aerospace and Electronic Systems, Vol. 46, No. 3, 1312-1328, 2010.
doi:10.1109/TAES.2010.5545191 Google Scholar

18. Jian, T., Y. He, F. Su, et al. "Cascaded detector for range-spread target in non-Gaussian clutter," IEEE Transactions on Aerospace and Electronic Systems, Vol. 48, No. 2, 1713-1725, 2012.
doi:10.1109/TAES.2012.6178091 Google Scholar

19. Weinberg, G. V., "Coherent multi-look radar detection for targets in Pareto distributed clutter," Defence Science and Technology Organization, 2012. Google Scholar

20. Weinberg, G. V., "Coherent CFAR detection in compound Gaussian clutter with inverse gamma texture," EURASIP Journal on Advances in Signal Processing, Vol. 2013, 105, 2013.
doi:10.1186/1687-6180-2013-105 Google Scholar

21. Weinberg, G. V., "Coherent multi-look radar detection for targets in KK-distributed clutter,"," Digital Communication, 2012. Google Scholar

22. Weinberg, G. V., "Suboptimal coherent radar detection in a KK-distributed clutter environment," International Scholarly Research Network Signal Processing, 2012. Google Scholar

23. 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, No. 2, 775-780, 2007.
doi:10.1109/TAES.2007.4285370 Google Scholar

24. Weinberg, G. V., "Assessing the Pareto fit to high resolution high grazing angle sea clutter ," Electronics Letters, Vol. 47, No. 8, 516-517, 2011.
doi:10.1049/el.2011.0518 Google Scholar

25. Frery, A. C., H. J. Muller, C. F. Yanasse, et al. "A model for extremely heterogeneous clutter," IEEE Transactions on Geoscience and Remote Sensing, Vol. 35, No. 3, 648-659, 1997.
doi:10.1109/36.581981 Google Scholar

26. Moser, G., J. Zerubia, and S. B. Serpico, "Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation," IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 1, 188-200, 2006.
doi:10.1109/TGRS.2005.859349 Google Scholar

27. Moser, G., J. Zerubia, and S. B. Serpico, "SAR amplitude probability density function estimation based on a generalized Gaussian model," IEEE Transactions on Image Processing, Vol. 15, No. 6, 1429-1442, 2006.
doi:10.1109/TIP.2006.871124 Google Scholar

28. Xu, Z., "Modeling of sea clutter and target detection in sea clutter," Graduate School of National University of Defense Technology, 2012. Google Scholar

29. Nitzberg, R., "Effect of a few dominant specular reflectors target model upon target detection ," IEEE Transactions on Aerospace and Electronic Systems, Vol. 14, No. 4, 670-673, 1978.
doi:10.1109/TAES.1978.308696 Google Scholar

30. Gini, F. and M. Greco, "Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter," Signal Processing, Vol. 82, 1495-1507, 2002. Google Scholar

Dr. Yanzhao Gao

Dr. Ronghui Zhan

Dr. Jianwei Wan