基于微多普勒特征的欺骗干扰识别

为了提高雷达的抗干扰能力,提出了一种基于微多普勒特征的欺骗干扰识别方法,为雷达选择抗干扰措施提供了先验知识。首先建立了目标回波和干扰信号的数学模型,分析了二者微多普勒频率的差异。其次利用Viterbi算法和FFT谱分析对信号的特征参数进行了提取。最后,定义了识别目标和干扰的特征因子,并根据特征因子设定阈值对目标回波和欺骗干扰进行识别。仿真结果验证了算法的正确性和稳定性,与理论分析一致,表明该方法能够在较低的信噪比环境下对欺骗干扰进行检测识别。

A Deception Jamming Identification Method Based on Micro-Doppler Feature

In order to enhance the radar anti-jamming capability and promote the effectiveness of choosing anti-jamming measures,a novel jamming recognition method is proposed based on micro-Doppler feature. Firstly,the mathematical models of real target and jamming signal are established, and the differences of their micro-Doppler features are analyzed. Secondly,the instantaneous Doppler and micro-Doppler parameters of radar echo are extracted by the Viterbi algorithm and FFT spectral analysis. Finally,the feature factor which is less affected by the SNR is defined,according to which the target and the jamming are identified by the set threshold. Simulation results based on synthetic data show that the identification algorithm is correct and steady,which indicates the method is able to identify the deception jamming in a high noise environment.