在现代电子对抗中，数字射频存储(DRFM)设备能够快速截获机载脉冲多普勒雷达信号，能够实现对多输入多输出(MIMO)雷达的干扰。MIMO 雷达可基于多组相互正交的波形集来对抗DRFM 干扰。同时，为最大化MIMO 雷达波形分集增益,每个脉冲内发射的波形也需要正交。为了平衡组内和组间的正交性,文中建立了一种分组正交波形集优化模型，其目标函数为组内和组间相关函数性能评估指标值的加权和；为了求解该优化问题，提出了一种分组正交波形集设计方法。所提方法将原优化问题简化为p-范数优化问题,基于MM 算法导出了最小化目标函数的迭代求解表达式。仿真结果表明,所提方法可通过改变权重系数来灵活平衡MIMO 雷达的干扰抑制性能和距离压缩性能。

In modern electronic countermeasures, digital radio frequency memory (DRFM) devices can quickly intercept airborne pulse Doppler radar signals and achieve diverse jamming to interfere with multiple-input multiple-output (MIMO) radar. MIMO radar can combat the DRFM-based jamming using multiple group orthogonal waveform sets. At the same time, to maximize the waveform diversity gain of MIMO radar, the waveforms transmitted within each pulse also need to be orthogonal. To balance the intra and inter-group orthogonality, a group orthogonal waveform sets optimization model is formulated. The objective function is the weighted sum of the evaluation metrics of intra-and inter-group correlation functions. To solve this optimization problem, a group orthogonal waveform sets design method is proposed. The proposed method simplifies the origin optimization problem into a p-norm optimization problem. To minimize the objective function, an iterative solving formula is derived based on the MM algorithm. The simulation results show that the proposed method can flexibly balance the interference suppression and range compression performances of MIMO radar by adjusting the weighting factor.

TN958.3

国家自然科学基金资助项目(62131001)