Abstract
The anti-sorting transmission is one of the primary RF stealth signals, as well as radio frequency (RF) stealth is one of the greatest significant study areas in radar stealth technology. This study first examines the anti-sorting signal's design basis. Next, it is suggested to use a quadratic stochastic appropriate algorithm on the cosine exponent. Furthermore, utilizing the suggested nonlinear chaotic mapping, a more unpredictable wide-interval PRI signals is created while taking the sorting individual's allowable limits into account. Finally, evaluations of intricacy, equilibrium, and unpredictability confirm the effectiveness of the suggested chaotic mapping. The transmitter capacity for anti-sorting is then modeled. The outcomes demonstrate the intended signal's strong anti-sorting capabilities.









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Abbreviations
- RF:
-
Radio frequency
- LO:
-
Low observable innovation
- PRI:
-
Pulse repetition interval
- TOA:
-
Time of arrival
- PRF:
-
Pulse repetition frequency
- SDIF:
-
Sequential difference histogram
- CE:
-
Cosine-exponential
- PW:
-
Pulse width
- CDIF:
-
Cumulative difference histogram
- TOF:
-
Time of flight
- LE:
-
Lyapunov exponent
- MLE:
-
Maximal Lyapunov exponent
References
Joint Chiefs of Staff. (2020). Joint publication 3⁃85: joint electromagnetic spectrum operations. Joint Staff: Washington D. C., U.S.
Pu, Y. W., Liu, T. T., Guo, J., et al. (2021). Radar emitter signal recognition based on convolutional neural network and coordinate transformation of ambiguity function main ridge. Acta Armamentarii, 42, 1680–1689.
Shi, C. G., Wang, Y. J., Wang, F., et al. (2020). Power resource allocation scheme for distributed MIMO dual-function radar-communication system based on low probability of intercept. Digital Signal Processing, 106, 102850.
Shi, C. G., Dong, J., & Zhou, J. J. (2021). Overview of aircraft radio frequency stealth technology. Systems Engineering & Electronics., 43, 1452–1467.
Zhao, X. T., & Zhou, J. J. (2022). Improved MUSIC algorithm for MIMO radar with low intercept. Systems Engineering and Electronics, 44, 490–497.
Sun, Y. B. (2021). Low probability of intercept waveform with rejection capability of spread spectrum parameter measurements. Telecommunication Engineering, 61, 821–826.
Chang, W. (2020). Design of synthetic aperture radar low-intercept radio frequency stealth. Systems Engineering & Electronics, 31, 9.
Yang, Y. X., Wang, D. X., & Huang, Q. (2020). Design method of radio frequency stealth frequency hopping communications based on four-dimensional hyperchaotic system. Journal of Astronautics, 41, 1341–1349.
Yang, S., Hou, C. & Si, W. (2017). Extract pulse clustering in radar signal sorting. In 2017 International Applied Computational Electromagnetics Society Symposium, Firenze, Italy, 26–30.
Sui, J.P., Liu, Z., Liu, L.,; et al. Progress in radar emitter signal deinterleaving. Journal of Radars, in press. https://doi.org/10.12000/JR21147
Jiang, Z. Y., Sun, S. Y., Li, H. W., et al. (2021). A method for deinterleaving based on JANET. Journal of University of Chinese Academy of Sciences, 38, 825–831.
Yu, Q., Bi, D. P., Chen, L., et al. (2016). Jamming technology of research based on PRI parameter separation of signal to ELINT system. Fire Control & Command Control, 41, 143–147.
Dai, S. B., Lei, W. H., Cheng, Y. Z., et al. (2014). Electronic anti-reconnaissance based on TOA analysis. Electronic Information Warfare Technology, 29, 45–48.
Wang, F., & Liu, J. F. (2019). LPS design of pulse repetition interval for formation radars. Information Technology, 3, 14–18+23.
Zhang, B. Q., & Wang, W. S. (2017). Anti-clustering analysis of anti-reconnaissance based on full pulse information extraction. Electronic Information Warfare Technology., 32, 19–25.
Nan, H., Peng, S., Yu, J., et al. (2019). Pulse interference method against PRI sorting. The Journal of Engineering, 19, 5732–5735.
Sun, Z. Y., Jiang, Q. X., Bi, D. P., et al. (2015). A technology for anti-reconnaissance based on factional quasi orthogonal waveform. Modern Radar, 37, 7.
Zhang, B. Q. (2016). A design method of PRI stagger countering the SDIF sorting algorithm. Journal of Ordnance Equipment Engineering, 37, 87–91.
Wang, H. F. (2021). Anti-reconnaissance performance analysis of mimo radar configured with OFDM signal. Journal of Ordnance Equipment Engineering, 42, 177–182.
Mardia, H. K. (1989). New techniques for the deinterleaving of repetitive sequences. IEE Proc F, 136, 149–154.
Milojevic, J. D., Popovic, B. M., et al. (1992). Improved algorithm for the deinterleaving of radar pulses. Radar and Signal Processing, IEE Proceedings. https://doi.org/10.1049/ip-f-2.1992.0012
LI, T. Research on Deinterleaving and Recognizing Algorithm for Radar Pulse Sequences with Complicated PRF Modulation. Master, National University of Defense Technology, Changsha, 2006.
Cao, J. F., Chen, J. J., & Meng, X. L. (2009). A study on the technology of radar signal sorting. Radar & ECM, 1, 20–22.
Yi, B. X., & Ling, W. S. (2014). Radar signal sorting technology in complex electromagnetic environment. Electronic Information Warfare Technology, 29, 57–59.
Yu, Y., Gao, S., Cheng, S., et al. (2018). CBSO: A memetic brain storm optimization with chaotic local search. Memetic Computing, 10, 353–367.
Alpar, O. (2017). A new chaotic map with three isolated chaotic regions. Nonlinear Dynamics, 87, 903–912.
Lambic, D., & Nikolic, M. (2017). Pseudo-random number generator based on discrete-space chaotic map. Nonlinear Dynamics, 90, 223–232.
Liu, F. (2019) WFRFT secure communication method based on chaotic parameter pool. Mathematical Problems in Engineering, 1–12.
Aditya K.,; Mohanty AK, et al. (2020). Image encryption using dynamic DNA encoding and pixel scrambling using composite chaotic maps. IOP Conference Series: Materials Science and Engineering, 872, 012045.
Agarwal, S. (2020). A new composite fractal function and its application in image encryption. J Imag, 6, 70.
Musheer, A. M., Doja, M. M., & Beg, S. (2019). A new chaotic map based secure and efficient pseudo-random bit sequence generation. Security in Computing and Communications, 969, 543–553.
Jiao, G. (2019) Studies on image data safety and reliability based on multi-chaotic maps. Doctor, University of South China, Hengyang, .
Pala, C. A. (2002). Cycling chaos in one-dimensional coupled iterated maps. International Journal of Bifurcation and Chaos, 12, 1859–1868.
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Jia, J., Liu, L., Liang, Y. et al. Anti-sorting signal design for radio frequency stealth radar based on cosine-exponential nonlinear chaotic mapping. Wireless Netw 30, 4811–4824 (2024). https://doi.org/10.1007/s11276-022-03149-9
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DOI: https://doi.org/10.1007/s11276-022-03149-9