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2017-01-30
ISAR Imaging and Scaling Method of Precession Targets in Wideband T/R-R Bistatic Radar
By
Progress In Electromagnetics Research M, Vol. 53, 191-199, 2017
Abstract
Imaging and scaling of precession targets are very important in spatial target surveillance. The bistatic wideband radar echo model of the spatial precession cone-shaped target is induced, and bistatic ISAR imaging method based on time-frequency analysis is described. Combined with the monostatic and bistatic scattering characteristics of cone-shaped targets, the cross scaling method is presented through range instantaneous Doppler (RID) image matching using T/R-R bistatic radar observations, and the correct scaled monostatic and bistatic two-dimensional images can be obtained at the same time, which can reflect the actual size of the target. The algorithm is validated by dynamic simulation with electromagnetic computation data and provides a feasible way for the stable recognition of spatial targets.
Citation
Xiaofeng Ai, Yonghu Zeng, Liandong Wang, Manxi Wang, and Yongzhen Li, "ISAR Imaging and Scaling Method of Precession Targets in Wideband T/R-R Bistatic Radar," Progress In Electromagnetics Research M, Vol. 53, 191-199, 2017.
doi:10.2528/PIERM16111302
References

1. Wang, T., X. Wang, et al. "Estimation of precession parameters and generation of ISAR images of ballistic missile targets," IEEE Transactions on Aerospace and Electronic Systems, Vol. 46, No. 4, 1983-1995, 2010.
doi:10.1109/TAES.2010.5595608

2. Zhuang, Z., X. Wang, X. Li, et al. Radar Target Recognition, 311-388, Higher Education Press, Beijing, 2015.

3. Vespe, M., C. Baker, et al. "Radar target classification using multiple perspectives," IET Radar Sonar Navigation, Vol. 1, No. 4, 300-307, 2007.
doi:10.1049/iet-rsn:20060049

4. Zhu, F., X.-D. Zhang, et al. "Nonstationary hidden markov models for multiaspect discriminative feature extraction from radar targets," IEEE Transactions on Signal Processing, Vol. 55, No. 5, 2203-2214, 2007.
doi:10.1109/TSP.2007.892708

5. Ye, C.-M., J. Xu, et al. "Key parameter estimation for radar rotating object imaging with multi-aspect observations," Science in China: Information Sciences, Vol. 53, No. 8, 1641-1652, 2010.
doi:10.1007/s11432-010-4028-3

6. Bai, X., F. Zhou, M. Xing, and Z. Bao, "Scaling the 3-D image of spinning space debris via bistatic inverse synthetic aperture radar," IEEE Transactions on Geoscience Remote Sensing Letters, Vol. 7, No. 3, 430-434, 2010.
doi:10.1109/LGRS.2009.2038286

7. Zhang, Y.-B., Z.-B. Zhu, Z.-Y. Tang, et al. "Bistatic inverse synthetic aperture radar image formation," Journal of Electronics & Information Technology, Vol. 28, No. 6, 969-972, 2006.

8. Chen, V. C., A. des Rosiers, and R. Lipps, "Bi-static ISAR range-doppler imaging and resolution analysis," 2009 IEEE Radar Conference, 1-5, Pasadena, California, United States, 2009.

9. Martorella, M., J. Palmer, J. Homer, et al. "On bistatic inverse synthetic aperture radar," IEEE Transactions on Aerospace and Electronic Systems, Vol. 43, No. 3, 1125-1134, 2007.
doi:10.1109/TAES.2007.4383602

10. Martorella, M., "Analysis of the robustness of bistatic inverse synthetic aperture radar in the presence of phase synchronization errors," IEEE Transactions on Aerospace and Electronic Systems, Vol. 47, No. 4, 2673-2689, 2011.
doi:10.1109/TAES.2011.6034658

11. Pastina, D., M. Bucciarelli, and P. Lombardo, "Multistatic and MIMO distributed ISAR for enhanced cross-range resolution of rotating targets," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 8, 3300-3318, 2010.
doi:10.1109/TGRS.2010.2043740

12. Chen, V. C. and H. Ling, Time-Frequency Transforms for Radar Imaging and Signal Analysis, 1st Ed., 1-6, Artech House, Norwood, MA, 2002.

13. Jin, G.-H., X.-Z. Gao, X. Li, et al. "ISAR image cross scaling method for ballistic target based on image registration," Systems Engineering and Electronics, Vol. 32, No. 12, 2565-2569, 2012.

14. Ai, X. F., X. H. Zou, Y. Z. Li, et al. "Bistatic scattering centres of cone-shaped targets and target length estimation," Science China: Information Sciences, Vol. 55, No. 12, 2888-2898, 2012.
doi:10.1007/s11432-012-4749-6

15. Ai, X. F., X. H. Zou, J. Liu, et al. "Bistatic high range resolution profiles of precessing cone-shaped targets," IET Radar Sonar Navigation, Vol. 7, No. 6, 615-622, 2013.
doi:10.1049/iet-rsn.2012.0168