Modelling of long-wave chaotic radar system for anti-stealth applications

Autor: Mariam Hussien Abd, Luigi Fortuna, Ghaida A. Al-Suhail, Viet-Thanh Pham, Fadhil Rahma Tahir
Rok vydání: 2018
Předmět:
Zdroj: Communications in Nonlinear Science and Numerical Simulation. 57:80-96
ISSN: 1007-5704
DOI: 10.1016/j.cnsns.2017.09.008
Popis: Although the Very Low-Frequency (VLF) waveforms have limited practical applications in acoustics (sonar) and secure military communications with radars and submarines; to this end; this paper presents a new and simple analytical model of VLF monostatic direct chaotic radar system. The model hypothetically depends on the two identical coupled time-delayed feedback chaotic systems which can generate and recover a long-wave chaotic signal. To resist the influence of positive Lyapunov exponents of the time-delay chaotic systems, the complete replacement of Pecaro and Carroll (PC) synchronization is employed. It can faithfully recover the chaotic signal from the back-scattered (echo) signal from the target over a noisy channel. The system performance is characterized in terms of the time series of synchronization in addition to the peak of the cross-correlation. Simulation results are conducted for substantial sensitivities of the chaotic signal to the system parameters and initial conditions. As a result, it is found that an effective and robust chaotic radar (CRADAR) model can be obtained when the signal-to-noise ratio (SNR) highly degrades to 0 dB, but with clear peak in correlation performance for detecting the target. Then, the model can be considered as a state of the art towards counter stealth technology and might be developed for other acoustic secure applications.
Databáze: OpenAIRE
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