Sidelobe suppression design method of radar waveform based on continuous chaotic system
基于连续混沌系统的低旁瓣雷达波形设计*

Linear frequency-modulated(LFM) signals utilize window function in order to gain a relatively low sidelobe level, however, it leads to the loss of signal-noise-ratio(SNR); discrete chaotic frequency-modulated(FM) signals which belong to nonlinear frequency-modulated(NLFM) signals have unsatisfying autocorrelation property as well. To resolve this problem, this paper proposed a new chaotic FM signal which was modulated by the variable of continuous chaotic system after optimizing initial condition value. This method could remarkably reduce the sidelobe level of Lorenz FM signal to -39.53 dB. Simulation results demonstrate that comparing with LFM signal, discrete chaotic frequency-modulated signal and discrete chaotic phase-modulated signal, the signal studied in this paper has better sidelobe suppression performance while maintaining its inherent high ECCM capability .