基于连续混沌系统的低旁瓣雷达波形设计*

线性调频波(LFM)为了降低旁瓣而进行加窗处理，这导致信噪比损失；目前的非线性调频(NLFM)信号中有很多是离散混沌调频信号，自相关旁瓣也较高。针对这一问题，提出利用初始值优化过后的连续混沌系统的变量进行调频，可获得自相函数旁瓣低至-3953 dB的调频信号。仿真结果表明，相比于加窗后的线性调频信号、离散混沌调频信号和离散混沌调相信号，连续混沌调频信号具有更好的旁瓣抑制效果，并且保持了混沌信号固有的抗干扰性能（ECCM）。

Sidelobe suppression design method of radar waveform based on continuous chaotic system

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 .