volume | PIER Journals

Abstract

Interrupted Sampling Repeater Jamming (ISRJ) is an electronic countermeasure against radar echo signals that generates many false targets to mask the real target echoes, which seriously affects radar target detection performance. Most of the ISRJ suppression methods require accurate estimation of the signal parameters, and the estimation methods are complex. Based on the characteristics of discontinuous ISRJ sampling and orthogonality between multi-carrier phase coding (MCPC) signal's subcarriers, we propose a method for ISRJ identification and suppression based on an improved MCPC signal. By analyzing the pulse compression of the echo, we found that different types of intermittent sampling interference have different peaks after pulse compression. Based on this feature, we introduce Fractional Fourier Transform to filter out interference. Theoretical analysis and simulation results show that the method can effectively suppress the three classical ISRJ interferences. The method suppresses ISRJ during echo processing without any parameter estimation for real scenes and has stronger robustness than other existing schemes.

1. Wang, X. S., J. Liu, W. Zhang, Q. Fu, Z. Liu, and X. Xie, "Mathematic principles of interrupted- sampling repeater jamming (ISRJ)," Science in China Series F: Information Science, Vol. 50, No. 1, 113-123, 2007.
doi:10.1007/s11432-007-2017-y Google Scholar

2. Sparrow, M. J. and J. Cikalo, "ECM techniques to counter pulse compression radar: US, Patent 7081846[P],", 2006. Google Scholar

3. Feng, D. J., H. M. Tao, and Y. A. Yang, "Jamming de-chirping radar using interrupted-sampling repeater," Science China Information Sciences, Vol. 10, No. 54, 2138-2146, 2011.
doi:10.1007/s11432-011-4431-4 Google Scholar

4. Li, C. Z., W. M. Su, H. Gu, C. Ma, and J. L. Chen, "Improved interrupted sampling repeater jamming based on DRFM," 2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014, No. 6986193, 254-257, 2014. Google Scholar

5. Liu, M., S. Tao, and Q. Chen, "Countermeasure for interrupted-sampling repeater jamming based on fractional Fourier transformation," MATEC Web of Conferences, Vol. 232, 03037, 2018.
doi:10.1051/matecconf/201823203037 Google Scholar

6. Wang, Z. J., W. B. Yu, and Z. J. Yu, "Neural network-guided sparse recovery for interrupted- sampling repeater jamming suppression," International Journal of Antennas and Propagation, Vol. 2021, 2021. Google Scholar

7. Zhou, K., D. Li, and S. Quan, "SAR waveform and mismatched lter design for countering interrupted sampling repeater jamming," IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022. Google Scholar

8. Liu, Y., Q. Zhang, and Z. Liu, "An anti-jamming method against interrupted sampling repeater jamming based on compressed sensing," Sensors, Vol. 22, No. 2239, 2022.
doi:10.3390/s22083037 Google Scholar

9. Duan, J., L. Zhang, and Y. F. Wu, "Interrupted-sampling repeater jamming suppression with one-dimensional semi-parametric signal decomposition," Digital Signal Processing: A Review Journal, Vol. 127, 2022. Google Scholar

10. Lu, L. and M. G. Gao, "An improved sliding matched lter method for interrupted sampling repeater jamming suppression based on jamming reconstruction," IEEE Sensors Journal, Vol. 22, No. 10, 9675-9684, 2022.
doi:10.1109/JSEN.2022.3159561 Google Scholar

11. Li, J., X. Luo, X. Duan, W. Wang, and J. Ou, "A novel radar waveform design for anti- interrupted sampling repeater jamming via time-frequency random coded method," Progress In Electromagnetics Research M, Vol. 98, 89-99, 2020.
doi:10.2528/PIERM20072302 Google Scholar

12. Zhou, C., Q. Liu, and X. Chen, "Parameter estimation and suppression for DRFM-based interrupted sampling repeater jammer," IET Radar, Sonar and Navigation, Vol. 12, No. 1, 56-63, 2018.
doi:10.1049/iet-rsn.2017.0114 Google Scholar

13. Zhou, K., D. Li, Y. Su, and T. Liu, "Joint design of transmit waveform and mismatch lter in the presence of interrupted sampling repeater jamming," IEEE Signal Processing Letters, 2020. Google Scholar

14. Xiong, W., G. Zhang, and W. Liu, "Efficient lter design against interrupted sampling repeater jamming for wideband radar," Eurasip Journal on Advances in Signal Processing, Vol. 1, No. 9, 2017. Google Scholar

15. Chen, J., W. Wu, S. Xu, Z. Chen, and J. Zou, "Band pass filter design against interrupted-sampling repeater jamming based on time-frequency analysis," IET Radar, Sonar and Navigation, Vol. 13, No. 10, 1646-1654, 2019.
doi:10.1049/iet-rsn.2018.5658 Google Scholar

16. Wei, Y., Z. Lu, G. Yuan, Z. Fang, and Y. Huang, "Sparsity adaptive matching pursuit detection algorithm based on compressed sensing for radar signals," Sensors (Switzerland), Vol. 17, No. 5, 2017.
doi:10.3390/s17051120 Google Scholar

17. Zhao, Y., C. Shang, Z. Han, N. Han, and H. Xie, "Fractional fourier transform and compressed sensing adaptive countering smeared spectrum jamming," Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, Vol. 41, No. 5, 1047-1054, 2019. Google Scholar

18. Fang, B., G. Huang, and J. Gao, "Sub-nyquist sampling and reconstruction model of LFM signals based on blind compressed sensing in FRFT domain,", Vol. 34, No. 2, 419-439, 2015. Google Scholar

19. Zhang, J., H. Mu, S. Wen, Y. Li, and H. Gao, "Anti-intermittent sampling repeater jamming method based on LFM segmented pulse compression," Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, Vol. 41, No. 7, 1712-1720, 2019. Google Scholar

20. Zhang, Y., Y. S. Wei, and L. Yu, "Interrupted sampling repeater jamming recognition and suppression based on phase-coded signal processing," Signal Processing, Vol. 198, 2022. Google Scholar

21. Li, J., Q. Deng, J. P. Ou, and W. Wang, "Research on random redundant multi-carrier phase code signal against ISRJ based on MIMO radar," Progress In Electromagnetics Research M, Vol. 110, 97-107, 2022.
doi:10.2528/PIERM21092201 Google Scholar

22. Bultheel, A. and H. E. M. Sulbaran, "Computation of the fractional Fourier transform," Applied and Computational Harmonic Analysis, Vol. 16, No. 3, 182-202, 2004.
doi:10.1016/j.acha.2004.02.001 Google Scholar

23. Atakishiyev, N. M., L. E. Vicent, and K. B. Wolf, "Continuous vs. discrete fractional Fourier transform," Journal of Computational and Applied Mathematics, Vol. 107, No. 1, 73-95, 1999.
doi:10.1016/S0377-0427(99)00082-5 Google Scholar

24. Li, J., M. Liu, J. P. Ou, and W. Wang, "A novel radar waveform design for suppressing autocorrelation side-lobe based on chaotic and single fusion encoding method," Progress In Electromagnetics Research M, Vol. 111, 77-88, 2022.
doi:10.2528/PIERM22042202 Google Scholar

Dr. Ji Li

Mr. Junjie Zhou

Dr. Wei Wang

Dr. Min Liu