联合时频分布和压缩感知对抗频谱弥散干扰

Jointing Time-frequency Distribution and Compressed Sensing for Countering Smeared Spectrum Jamming

频谱弥散(SMSP)干扰是一种专门对抗线性调频脉冲雷达的有源欺骗干扰。针对SMSP干扰的抑制问题,该文根据该干扰的时频分布特性,提出一种联合时频分布和压缩感知的干扰抑制算法。该方法通过在时频域丢弃SMSP干扰信号,保留属于目标信号的时频点,并根据保留的时频点与雷达回波频谱间的线性关系,建立压缩感知最小问题求解模型并利用正交匹配追踪方法重构目标信号,实现对SMSP干扰的抑制。Monte Carlo仿真结果验证了该方法的有效性。

The SMeared SPectrum （SMSP） jamming is a special active deception jamming for countering a Linear Frequency Modulated （LFM） pulse compression radar system. For suppressing the SMSP jamming, a novel anti-jamming approach is proposed based on jointing Time-Frequency （TF） distribution and Compressed Sensing （CS）. First the SMSP jamming is isolated in the TF domain, and then the TF points belonging to target signal are reserved. According to the linear relationship between the reserved TF points and the frequency domain of radar echo, a CS minimization model is established and the Orthogonal Matching Pursuit （OMP） algorithm is utilized to recover the target signal, which means the SMSP jamming is mitigated simultaneously. The validity of the proposed method is evaluated using experimental data via Monte Carlo simulation.