2017-04-21
Novel Smart Noise Jamming Suppression Method Based on Smeared Spectrum
By
Progress In Electromagnetics Research Letters, Vol. 67, 81-88, 2017
Abstract
This study proposes an anti-jamming scheme for linear frequency modulated (LFM) radars to combat smart noise jamming, which is a newly proposed pattern that is very effective against LFM radars. First, by utilizing the smeared spectrum technique, the chirp rates of the target return and jamming signal can be changed. The target return and jamming signal then exhibit different characteristics after the application of matched filters. Finally, the true target can be distinguished from the smart noise jamming, which is suppressed by the reconstruction and subtraction in the receiving signal. Numerical experiments demonstrate the feasibility and practicability of the proposed anti-jamming device, which is also verified as having a superior performance over existing jamming suppression schemes.
Citation
Jiaqi Ren, and Pan Wang, "Novel Smart Noise Jamming Suppression Method Based on Smeared Spectrum," Progress In Electromagnetics Research Letters, Vol. 67, 81-88, 2017.
doi:10.2528/PIERL17022204
References

1. Schleher, D. C., Electronic Warfare in the Information Age, Artech House Publishers, London, 1999.

2. Shen, H., X. Wang, and J. Rong, "Smart noise jamming waveforms based on DRFM," Aerospace Electronic Warfare, Vol. 23, No. 1, 62-64, 2007.        Google Scholar

3. Hao, H., D. Zeng, and P. Ge, "Research on the method of smart noise jamming on pulse radar," Proc. of 5th International Conference on Instrumentation and Measurement, Computer, Communication and Control, 1339-1342, Qinhuangdao, Hebei, 2015.        Google Scholar

4. Xu, X., Y. Bao, and H. Zhou, "Technology of smart noise jamming based on convolution modulation," Modern Radar, Vol. 29, No. 5, 28-31, 2007.        Google Scholar

5. Yang, Y., W. Zhang, and J. Yang, "Study on frequency-shifting jamming to linear frequency modulation pulse compression radars," Proc. of 2009 International Conference on Wireless Communications and Signal Processing, 1-5, Nanjing, Jiangsu, 2009.        Google Scholar

6. Qiu, J., "A study on relationship between smart noise jamming and SLB," Modern Radar, Vol. 34, No. 8, 55-59, 2012.        Google Scholar

7. Feng, M., M. He, C. Yu, et al. "Effects of adaptive sidelobe canceling against smart noise jamming," Modern Defence Technology, Vol. 42, No. 3, 25-30, 2014.        Google Scholar

8. Lu, G., S. Liao, S. Luo, and B. Tang, "Cancellation of complicated DRFM range false targets via temporal pulse diversity," Progress in Electromagnetics Research C, Vol. 16, No. 6, 69-84, 2010.
doi:10.2528/PIERC10061401        Google Scholar

9. Luo, S. and B. Tang, "An algorithm of deception jamming suppression based on blind signal separation," J. Electron. Inf. Technol., Vol. 33, No. 12, 2801-2806, 2011.        Google Scholar

10. Sparrow, M. J. and J. Cikalo, "ECM techniques to counter pulse compression radar," United States Patent, 7081846, 2006.        Google Scholar

11. Sun, M. and B. Tang, "Suppression of smeared spectrum ECM signal," J. Chin. Inst. Eng., Vol. 32, No. 3, 407-413, 2009.
doi:10.1080/02533839.2009.9671521        Google Scholar

12. Wang, N., J. Ren, J. Meng, et al. "A signal cancellation method based on multiple parameters estimation," Proc. of 2014 International Conference on Signal Processing, 2068-2072, Hangzhou, Zhejiang, 2014.        Google Scholar

13. Ren, J., X. Dai, N. Wang, et al. "Repeater jamming suppression technology based on HHT," Proc. of 2016 IEEE Radar Conference, 1-5, Philadelphia, Pennsylvania, 2016.        Google Scholar