volume | PIER Journals

Abstract

Multi-carrier Phase Coded (MCPC) signal has the advantages of large time-bandwidth product, low intercept, anti-jamming, digitization, flexible waveform, and high spectral utilization, and has become a hotspot in radar waveform research. However, MCPC signal has high-distance sidelobes which are difficult to suppress, after pulse compression processing. Excessive sidelobes will mask the existence of small and weak targets, thus losing the target signal, which limits the practical application of MCPC signals. Therefore, it is of great significance and practical value to study the sidelobe suppression of MCPC signals. From the point of view of waveform design, a multi-carrier phase-encoded signal combining chaotic encoding and single encoding (MCPC-CS) is designed by using chaotic sequence as phase encoding of MCPC signal and optimizing it. In this paper, peak sidelobe level ratio (PSLR) is used as a evaluation factor of the autocorrelation function. The simulation results show that MCPC-CS signal has a good autocorrelation peak sidelobe level ratio, and the autocorrelation sidelobe is reduced by more than 3 dB compared with the normal MCPC signal.

1. Richards, M. A., Fundamentals of Radar Signal Processing, McGraw-Hill, New York, NY, USA, 2005.

2. Raghavendra, C. G., R. Prakash, and V. N. Panemangalore, "Reduction of sidelobe levels in multicarrier radar signals via the fusion of hill patterns and geometric progression," ETRI Journal, Vol. 43, No. 4, 650-659, 2021.
doi:10.4218/etrij.2020-0158 Google Scholar

3. Argenti, F. and L. Facheris, "Radar pulse compression methods based on nonlinear and quadratic optimization," IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, No. 5, 3904-3916, 2021.
doi:10.1109/TGRS.2020.3010414 Google Scholar

4. Kretschmer, F. F. and B. L. Lewis, "Doppler properties of polyphase coded pulse compression waveforms," IEEE Transactions on Aerospace and Electronic Systems, Vol. 19, No. 4, 521-531, 1983.
doi:10.1109/TAES.1983.309340 Google Scholar

5. Neuberger, N. and R. Vehmas, "Range sidelobe levelreduction with a train of diverse LFM pulses," IEEE Transactions on Aerospace and Electronic Systems, Vol. 58, No. 2, 1480-1486, 2022.
doi:10.1109/TAES.2021.3115991 Google Scholar

6. Di, Z., X. Dong, and W. Lin, "Pulse compression with very low sidelobes in a spaceborne weather radar," International Geoscience and Remote Sensing Symposium (IGARSS), Vol. 1, No. 5, V252-V255, 2008. Google Scholar

7. Wang, H., Z. Shi, and J. He, "Compression withconsiderable sidelobe suppression effect in weather radar," Eurasip Journal on Wireless Communications and Networking, No. 97, 2013. Google Scholar

8. Sen, S. and C. W. Glover, "Optimal multicarrier phase-coded waveform design for detection of extended targets," IEEE Radar Conference, 1-6, 2013. Google Scholar

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

10. Huang, Q., Y. Li, W. Cheng, W. Liu, and B. Li, "A new multicarrier chaotic phase coded stepped- frequency pulse train radar signal and its characteristic analysis," 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), 444-448, 2015. Google Scholar

11. Li, D., X. Dai, and H. Zhang, "Sidelobe suppression in NC-OFDM systems using constellation adjustment," IEEE Communications Letters, Vol. 13, No. 5, 327-329, 2009.
doi:10.1109/LCOMM.2009.090031 Google Scholar

12. Yang, Z. and J. Tao, "Active point modification for sidelobe suppression with PAPR constraint in OFDM systems," Wireless Networks, Vol. 19, No. 7, 1653-1663, 2013.
doi:10.1007/s11276-013-0561-5 Google Scholar

13. Khan, H. and S. Yoo, "Active interference restriction in OFDM based cognitive radio using genetic algorithm," 2015 International Conference on Information and Communication Technology Convergence (ICTC), 840-842, 2015.
doi:10.1109/ICTC.2015.7354680 Google Scholar

14. Tom, A., A. Sahin, and H. Arslan, "Suppressing alignment: Joint PAPR and out-of-band power leakage reduction for OFDM-based systems," IEEE Transactions on Communications, Vol. 64, No. 3, 1100-1109, 2015.
doi:10.1109/TCOMM.2015.2512603 Google Scholar

15. Prasantha, H. S., "Joint reduction of PMEPR and sidelobe in multicarrier radar signals using ZC and SC method," WSEAS Transactions on Communications, Vol. 19, 9-17, 2020. Google Scholar

16. Sivadas, N. A. and S. S. Mohammed, "A joint technique for sidelobe suppression and peak to average power ratio reduction in noncontiguous OFDM based cognitive radio networks," International Journal of Electronics, Vol. 104, No. 2, 190-203, 2016.
doi:10.1080/00207217.2016.1196747 Google Scholar

17. Ni, C., T. Jiang, and W. Peng, "Joint PAPR reduction and sidelobe suppression using signal cancelation in NC-OFDM-based cognitive radio systems," IEEE Transactions on Vehicular Technology, Vol. 64, No. 3, 964-972, 2015.
doi:10.1109/TVT.2014.2327012 Google Scholar

18. Carroll, L. T., "Adaptive chaotic maps for identification of complex targets," IET Radar Sonar and Navigation, Vol. 2, No. 4, 256-262, 2008.
doi:10.1049/iet-rsn:20070128 Google Scholar

19. Huang, Y. L. and Zeng, "Design and characteristic analysis of multicarrier chaotic phase coded radar pulse train signal," International Journal of Antennas and Propagation, Vol. 3, 1-8, 2014. Google Scholar

20. Sun, K., S. He, L. Yin, and L. Duo, "Application of the fuzzyen algorithm to the complexity analysis of chaotic sequences," Acta Physica Sinica, Vol. 61, No. 13, 147-203, Chinese Edition, 1984. Google Scholar

21. 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

22. Li, Z. and W. Zou, "An OFDM radar communication integrated waveform based on chaos," Communications, Signal Processing, and Systems, 555-562, 2021.
doi:10.1007/978-981-15-8411-4_75 Google Scholar

23. Guruswamy, A. and R. Blum, "Ambiguity optimization for frequency-hopping waveforms in MIMO radars with arbitrary antenna separations," IEEE Signal Processing Letters, Vol. 23, No. 9, 1231-1235, 2016.
doi:10.1109/LSP.2016.2569121 Google Scholar

24. Ipanov, R. N., "Polyphase radar signals with ZACZ based on p-Pairs D-Code sequences and their compression algorithm," Infocommunications Journal, Vol. 11, No. 3, 21-27, 2019.
doi:10.36244/ICJ.2019.3.4 Google Scholar

25. Yu, M., S. Dong, X. Duan, and S. Liu, "A novel interference suppression method for interrupted sampling repeater jamming based on singular spectrum entropy function," Sensors, Vol. 19, No. 1, 136, 2019.
doi:10.3390/s19010136 Google Scholar

26. Wu, W., J. Zou, C. Jian, S. Xu, and Z. Chen, "False-target recognition against interrupted-sampling repeater jamming based on integration decomposition," IEEE Transactions on Aerospace and Electronic Systems, Vol. 57, No. 5, 2979-2991, 2021.
doi:10.1109/TAES.2021.3068443 Google Scholar

27. Raghavendra, C. G., N. Harsha, and N. N. S. S. R. K. Prasad, "Sidelobe reduction of multicarrier radar signals using Zad-Off Chu polyphase sequence," International Conference on Inventive Research in Computing Applications, 1057-1061, 2018. Google Scholar

Dr. Ji Li

Dr. Min Liu

Dr. Jianping Ou

Dr. Wei Wang