School of Electronic Science and Engineering
National University of Defense Technology
China
Homepage
School of Electronic Science and Engineering
National University of Defense Technology
China
Homepage1. Macedo, A. D. F., "Analysis of chaff cloud RCS applying fuzzy calculus," SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference Proceedings, Vol. 2, 724-728, 1997.
2. Fu, X., H. Yan, C. Jiang, and M. Gao, "Chaff jamming recognition for anti-vessel end-guidance radars," Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09, Article No. 5304639, 2009.
3. Jia, X. and G. R. Guo, "Anti-chaff jamming method for anti-ship missile terminal guidance radar," Shipboard Electronic Countermeasure, Vol. 3, No. 3, 21-22, 1998.
4. Fu, H. W., S. W. Zhang, and X. M. Li, "A recognition method of chaff jamming based on gray principle," Electronics Optics & Control, Vol. 10, No. 3, 42-44, 2003.
5. Shang, W., B. X. Chen, and L. F. Jiang, "An anti-chaff jamming method based on the effect of spectral expansion," Guidance & Fuze, Vol. 27, No. 3, 5-10, 2006.
6. Shao, X. H., H. Du, and J. H. Xue, "A recognition method depended on enlarge the difference between target and chaff," International Conference on Microwave and Millimeter Wave Technology, ICMMT'07, Article No. 4266269, 2007.
7. Chua, M. Y. and V. C. Koo, "FPGA-based chirp generator for high resolution UAV SAR," Progress In Electromagnetics Research, Vol. 99, 71-88, 2009.
doi:10.2528/PIER09100301
8. Chen, J., Principles of Radar Passive Jamming, 161-164, National Defense Industry Press, Beijing, 2009.
9. Wicks, M. C., E. L. Mokole, S. D. Blunt, R. S. Schneible, and V. J. Amuso , Principles of Waveform. Diversity and Design, Chap. 1, Scitech Publishing Inc., Mendham, New Jersey, 2010.
10. Farina, A. and F. A. Studer, "Detection with high resolution radar: Great promise, big challenge," Journal of Systems Engineering and Electronics, Vol. 3, No. 1, 21-34, 1992.
11. Wehner, D. R., High-resolution Radar, Chap. 4-Chap. 5, Artech House, Boston, 1995.
12. Tao, R., N. Zhang, and Y. Wang, "Analyzing and compensating the effects of range and Doppler frequency migrations in linear frequency modulation pulse compression radar," IET Radar Sonar and Navigation, Vol. 5, No. 1, 12-22, 2011.
doi:10.1049/iet-rsn.2009.0265
13. Liu, B. and W. Chang, "Range alignment and motion compensation for missile-borne frequency stepped chirp radar," Progress In Electromagnetics Research, Vol. 136, 523-542, 2013.
14. Calvo-Gallego, J. and F. Perez-Martinez, "Simple traffic surveillance system based on range-Doppler radar images," Progress In Electromagnetics Research, Vol. 125, 343-364, 2012.
doi:10.2528/PIER12011809
15. Xia, G. F., H. C. Zhu, and H. Y. Su, "Research on the anti-chaff-interference for modulated stepped frequency terminal guided radar," Radar Science and Technology, Vol. 7, No. 1, 14-17, 2009.
16. Liu, B. and W. Chang, "A novel range-spread target detection approach for frequency stepped chirp radar," Progress In Electromagnetics Research, Vol. 131, 275-292, 2012.
17. Xi, L., "Auto focusing of ISAR images based on entropy minimization," IEEE Trans. Aerospace Electron. Syst., Vol. 35, No. 4, 1240-1252, 1999.
doi:10.1109/7.805442
18. Xu, S., P. Shui, and X. Yan, "CFAR detection of range-spread target in white Gaussian noise using waveform entropy," Electronics Letters, Vol. 46, No. 9, 647-649, 2010.
doi:10.1049/el.2010.3329
19. Chen, X. R. and Z. G. Zheng, Modern Mathematics Handbook: Stochastic Mathematics, 38-46, Huazhong University of Science and Technology Press, 1999.
