稳健MIMO雷达发射波形和接收滤波器优化
发布时间:2018-09-19 05:54
【摘要】:针对雷达阵元功率放大器非线性以及在拥挤电磁频谱环境下所面临的频谱干扰,以雷达发射波形峰均比和在干扰频带内的发射能量为约束条件,结合弱目标方向估计不准的情况,提出一种稳健的MIMO雷达发射波形和接收滤波器联合优化方法.通过半正定松弛、Charnes-Cooper转换、序列优化和Max-min优化理论,将目标方向不确定集内非凸的优化问题转化为关于发射波形和接收滤波器的子凸优化问题进行求解;最后通过随机向量合成得到最终发射波形和接收滤波器.该方法在提高算法稳健性的同时,使每个阵元发射波形满足特定峰均比并且在干扰频带内形成零陷,从而提高MIMO雷达在实际应用环境下的工作性能,仿真实验验证了该方法的有效性.
[Abstract]:In view of the nonlinearity of the power amplifier of radar array elements and the spectral interference in the crowded electromagnetic spectrum environment, the peak to average ratio of the radar emission waveform and the emission energy in the interference band are taken as the constraint conditions. A robust joint optimization method for transmitting waveform and receiving filter of MIMO radar is proposed. By means of the positive semidefinite relaxation Charnes-Cooper transformation, sequence optimization and Max-min optimization theory, the non-convex optimization problem in the target direction uncertainty set is transformed into a subconvex optimization problem about the transmitting waveform and the receiving filter. Finally, the final transmitting waveform and receiving filter are obtained by random vector synthesis. This method not only improves the robustness of the algorithm, but also makes each array element transmit waveform meet the specific peak to average ratio and form zero trapping in the jamming band, thus improving the performance of MIMO radar in the practical application environment. Simulation results show that the proposed method is effective.
【作者单位】: 空军工程大学信息与导航学院;空军大连通信士官学校有线通信系;
【基金】:国家自然科学基金资助项目(61302153) 航空科学基金资助项目(20160196001)
【分类号】:TN958
本文编号:2249239
[Abstract]:In view of the nonlinearity of the power amplifier of radar array elements and the spectral interference in the crowded electromagnetic spectrum environment, the peak to average ratio of the radar emission waveform and the emission energy in the interference band are taken as the constraint conditions. A robust joint optimization method for transmitting waveform and receiving filter of MIMO radar is proposed. By means of the positive semidefinite relaxation Charnes-Cooper transformation, sequence optimization and Max-min optimization theory, the non-convex optimization problem in the target direction uncertainty set is transformed into a subconvex optimization problem about the transmitting waveform and the receiving filter. Finally, the final transmitting waveform and receiving filter are obtained by random vector synthesis. This method not only improves the robustness of the algorithm, but also makes each array element transmit waveform meet the specific peak to average ratio and form zero trapping in the jamming band, thus improving the performance of MIMO radar in the practical application environment. Simulation results show that the proposed method is effective.
【作者单位】: 空军工程大学信息与导航学院;空军大连通信士官学校有线通信系;
【基金】:国家自然科学基金资助项目(61302153) 航空科学基金资助项目(20160196001)
【分类号】:TN958
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