一种低旁瓣混沌雷达波形设计方法

传统的线性调频雷达波形,其自相关函数旁瓣较高,虽然可以经过切趾滤波处理降低旁瓣,但有一定程度的信噪比损失。针对这一问题,本文提出利用初始值优化过后的Lorenz系统的变量进行混沌调频,不但可以得到更好的自相关特性,而且没有信噪比损失,同时保持了混沌信号的类随机特性和较强的抗干扰性能(ECCM)。仿真结果表明,在没有加窗处理的情况下,可得到具有-39.53dB峰值旁瓣的Lorenz混沌调频雷达信号,比切趾滤波后的线性调频波旁瓣更低,是理想的雷达信号。

A Method for Designing Low Sidelobe Chaotic Radar Waveform

The autocorrelation function sidelobe level of conventional Linear Frequency Modulated（LFM） radar waveform is comparatively high,although the sidelobe can be decreased through Apolization filtering,it leads to a loss of signal-noise-ratio（SNR） in a certain extent.To solve this problem,a method of using the variable of Lorenz system to perform chaotic FM after its initial value is optimized is presented.Using this method not only gets better autocorrelation characteristic,but also is free of SNR loss,and maintains the random-like property and strong Electronic Counter-Counter Measures capability of the chaotic signal.Simulation results show that Lorenz chaotic FM radar signal with peak value sidelobe of-39.53dB can be obtained under condition without adding window processing,which is much lower than that of LFM after it is performed apodization filtering.It is an ideal radar waveform.