基于稀疏恢复的脉冲多普勒引信抗压制式干扰方法

A sparse recovery based method for anti-suppressive jamming in pulse Doppler fuze system

摘要:

脉冲多普勒(pulse Doppler， PD)引信通过多普勒效应获得目标信息，是防空导弹常用的一种无线电引信。然而，在遭受压制式干扰时，由于干扰信号能量过大，引信接收信道常出现能量饱和现象，从而导致引信无法准确探测真实目标或产生大量虚假目标。针对当前PD引信抗压制式干扰能力不足的问题，利用引信发射信号的时域稀疏特性，设计了基于稀疏恢复的PD引信抗噪声干扰方法。通过分析大功率噪声干扰作用下PD引信输出中频信号的特征，建立了基于最大最小凹惩罚函数(minimax concave penalty， MCP)的稀疏恢复模型，并设计了基于前后向分裂算法的回波脉冲串提取方法，从而实现引信目标回波脉冲串的有效提取及噪声干扰的抑制。仿真实验和实测数据验证了所提方法的有效性。实验结果表明：在模拟某型干扰机等效干扰作用下，该方法能够有效地从复杂接收信号中提取目标回波脉冲串，使引信抗噪声干扰成功率提高到90%以上。

Abstract:

Pulse Doppler (PD) fuzes obtain target information through the Doppler effect and are the most commonly used radio fuzes for air defense missiles. However, when subjected to suppressive jamming, due to the excessive energy of the interference signal, the receiving channel of the fuze becomes saturated with energy, resulting in the inability of the fuze to detect real targets or the appearance of a large number of false targets. Aiming at the problem of insufficient anti-jamming ability of the current pulse Doppler fuze compression system, a PD fuze anti-suppressive jamming method based on sparse recovery was designed using the time-domain sparsity of the fuse transmission signal. We analyzed the characteristics of intermediate frequency signals output by PD fuzes under high-power noise jamming, established a sparse recovery model based on the minimax concave penalty (MCP), and designed an echo pulse train extraction method based on forward backward splitting algorithm to achieve the extraction of target echo pulse trains of fuzes and the suppression of noise jamming. The effectiveness of the proposed method was verified through simulation and measured data, and the results showed that under the equivalent interference effect of a certain type of jammer, the proposed method can effectively extract target echo pulse trains from the received signal, and the success rate of fuze anti-noise jamming is increased to over 90%.