2015-12-19
Target Detection in Compound-Gaussian Clutter with Adaptive OFDM Radar
By
Progress In Electromagnetics Research M, Vol. 45, 91-99, 2016
Abstract
This paper mainly deals with the problem of target detection in compound-Gaussian clutter with orthogonal frequency division multiplexing (OFDM) radar. First, the OFDM measurement model is developed to compound-Gaussian clutter by taking advantage of frequency diversity of OFDM radar waveform and we devise a generalized likelihood rate test (GLRT) detector where the target scattering coefficients and clutter covariance matrix are unknown. Then, we propose an adaptive waveform design scheme based on maximizing Mahalanobis distance of the distributions under two hypothesises to improve the detection performance. Finally, the effectiveness of the proposed detector as well as the adaptive waveform design method is demonstrated via numerical examples.
Citation
Yang Xia, Zhiyong Song, Zaiqi Lu, and Qiang Fu, "Target Detection in Compound-Gaussian Clutter with Adaptive OFDM Radar," Progress In Electromagnetics Research M, Vol. 45, 91-99, 2016.
doi:10.2528/PIERM15102001
References

1. Jankiraman, M., B. J. Wessels, and P. V. Genderen, "Design of a multi-frequency FMCW radar," Proceedings of the 28th European Microwave Conference, 548-589, Amsterdam, Netherlands, 1998.        Google Scholar

2. Varzakas, P., "Optimization of an OFDM Rayleigh fading system," International Journal of Communication Systems, Vol. 20, No. 1, 1-7, 2007.
doi:10.1002/dac.807        Google Scholar

3. Levanon, N., "Multifrequency complementary phase-coded radar signal," IEE Proc. Radar, Sonar and Navigation, Vol. 147, No. 6, 276-284, 2000.
doi:10.1049/ip-rsn:20000734        Google Scholar

4. Mohseni, R., A. Sheikhi, and M. A. Masnadi-Shirazi, "Compression of multicarrier phase-coded radar signals based on discrete Fourier transform (DFT)," Progress In Electromagnetics Research C, Vol. 5, 93-117, 2008.        Google Scholar

5. Kim, J. H., M. Younis, and W. Wiesbeck, "A novel OFDM chirp waveform scheme for use of multiple transmitters in SAR," IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 3, 568-572, 2013.
doi:10.1109/LGRS.2012.2213577        Google Scholar

6. Sen, S. and A. Nehorai, "Target detection in clutter using adaptive OFDM radar," IEEE Signal Processing Letters, Vol. 16, No. 7, 592-598, 2009.
doi:10.1109/LSP.2009.2020470        Google Scholar

7. Sen, S. and A. Nehorai, "OFDM MIMO radar with mutual-Information waveform design for low-grazing angle tracking," IEEE Transaction on Signal Processing, Vol. 58, No. 6, 3152-3162, 2010.
doi:10.1109/TSP.2010.2044834        Google Scholar

8. Wu, X. H., A. A. Kishk, and A. W. Glisson, MIMO-OFDM radar for direction estimation, Vol. 4, No. 1, 28-36, IET Radar, Sonar & Navigation, 2010.

9. Garmatyuk, D. and M. Brenneman, "Adaptive multicarrier OFDM SAR signal processing," IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 10, 3780-3790, 2011.
doi:10.1109/TGRS.2011.2165546        Google Scholar

10. Sen, S. and A. Nehorai, "Adaptive OFDM radar for target detection in multipath scenarios," IEEE Transaction on Signal Processing, Vol. 59, No. 1, 78-90, 2011.
doi:10.1109/TSP.2010.2086448        Google Scholar

11. Sen, S., G. Tang, and A. Nehorai, "Multi-objective optimization of OFDM radar waveform for target detection," IEEE Transaction on Signal Processing, Vol. 59, No. 2, 639-652, 2011.
doi:10.1109/TSP.2010.2089628        Google Scholar

12. Kafshgari, S. and R. Mohseni, "The effect of target fluctuation on the OFDM radar detection performance," Proceedings of 20th Telecommunications Forum (TELFOR), 827-830, Belgrade, 2012.        Google Scholar

13. Kafshgari, S. and R. Mohseni, "Fluctuating target detection in presence of non Gaussian clutter in OFDM radars," International Journal of Electronics and Communications (AEÜ), 885-893, 2013.
doi:10.1016/j.aeue.2013.04.014        Google Scholar

14. Conte, E. and M. Longo, "Modeling and simulation of non-Rayleigh radar clutter," IEE Proc. - F Radar and Signal Processing, Vol. 138, No. 2, 121-130, 1991.
doi:10.1049/ip-f-2.1991.0018        Google Scholar

15. Akcakaya, M. and A. Nehorai, "Adaptive MIMO radar design and detection in compound-Gaussian clutter," IEEE Transactions on Aerospace and Electronic System, Vol. 47, No. 3, 2200-2207, 2011.
doi:10.1109/TAES.2011.5937292        Google Scholar

16. Maio, A. D. and M. Lops, "Design principles of MIMO radar detectors," IEEE Transactions on Aerospace and Electronic System, Vol. 43, No. 3, 886-898, 2007.
doi:10.1109/TAES.2007.4383581        Google Scholar

17. Cui, G., L. Kong, and X. Yang, "Multiple-input multiple-output radar detectors design in non-Gaussian clutter," IET Radar, Sonar & Navigation, Vol. 4, No. 5, 724-732, 2010.
doi:10.1049/iet-rsn.2009.0056        Google Scholar

18. Mahalanobis, P. C., "On the generalized distance in statistics," Proc. Nat. Inst. Sci. India, Vol. 2, 49-55, 1936.        Google Scholar

19. Anderson, T. W., An Introduction to Multivariate Statistical Analysis, 3rd Ed., Wiley, 2003.

20. Maesschalck, R. D., D. Jouan-Rimbaud, and D. L. Massart, "The Mahalanobis distance," Chemometrics and Intelligent Laboratory Systems, Vol. 50, 1-18, 2010.        Google Scholar

21. Horn, R. A. and C. R. Johnson, Matrix Analysis, Cambridge Univ. Press, 1990.

22. Li, N., G. Cui, and L. Kong, "MIMO radar moving target detection against compound Gaussian clutter," Circuits Syst. Signal Process, Vol. 33, 1819-1839, 2014.
doi:10.1007/s00034-013-9718-9        Google Scholar