目标辐射噪声低频线谱丰富,线谱相对谱级高,且较稳定,可直接应用于目标检测。基于子带分解处理的现有融合方法适用于信噪比相对较高情况,而对于相干干扰噪声或强宽带噪声,线谱目标的有效检测仍没很好解决。本文从子带空间谱统计特性出发...目标辐射噪声低频线谱丰富,线谱相对谱级高,且较稳定,可直接应用于目标检测。基于子带分解处理的现有融合方法适用于信噪比相对较高情况,而对于相干干扰噪声或强宽带噪声,线谱目标的有效检测仍没很好解决。本文从子带空间谱统计特性出发,利用线谱谱级高出连续谱10～25 d B,线谱频带所在方位区间的输出方位波动小,而其它分区间的输出方位波动大的特点,提出了一种在信噪比低,多目标并存情况下更有效的线谱提取融合方法。理论仿真和海试实验数据处理结果验证该算法较常规方法稳定,对于高谱级线谱,算法适用范围广、检测效果好,直观、简便,为实际工程应用提供了一种新方法。展开更多
When signal-to-interference ratio is low, the energy of strong interference leaked from the side lobe of beam pattern will infect the detection of weak target. Therefore, the beam pattern needs to be op...When signal-to-interference ratio is low, the energy of strong interference leaked from the side lobe of beam pattern will infect the detection of weak target. Therefore, the beam pattern needs to be optimized. The existing Dolph-Chebyshev weighting method can get the lowest side lobe level under given main lobe width, but for the other non-uniform circular array and nonlinear array, the low side lobe pattern needs to be designed specially. The second order cone programming optimization （SOCP） algorithm proposed in the paper transforms the optimization of the beam pattern into a standard convex optimization problem. Thus there is a paradigm to follow for any array formation, which not only achieves the purpose of Dolph-Chebyshev weighting, but also solves the problem of the increased side lobe when the signal is at end fire direction The simulation proves that the SOCP algorithm can detect the weak target better than the conventional beam forming.展开更多
文摘目标辐射噪声低频线谱丰富,线谱相对谱级高,且较稳定,可直接应用于目标检测。基于子带分解处理的现有融合方法适用于信噪比相对较高情况,而对于相干干扰噪声或强宽带噪声,线谱目标的有效检测仍没很好解决。本文从子带空间谱统计特性出发,利用线谱谱级高出连续谱10～25 d B,线谱频带所在方位区间的输出方位波动小,而其它分区间的输出方位波动大的特点,提出了一种在信噪比低,多目标并存情况下更有效的线谱提取融合方法。理论仿真和海试实验数据处理结果验证该算法较常规方法稳定,对于高谱级线谱,算法适用范围广、检测效果好,直观、简便,为实际工程应用提供了一种新方法。
基金Special Item of National Major Scientific Apparatus Development(No.2013YQ140431)
文摘When signal-to-interference ratio is low, the energy of strong interference leaked from the side lobe of beam pattern will infect the detection of weak target. Therefore, the beam pattern needs to be optimized. The existing Dolph-Chebyshev weighting method can get the lowest side lobe level under given main lobe width, but for the other non-uniform circular array and nonlinear array, the low side lobe pattern needs to be designed specially. The second order cone programming optimization （SOCP） algorithm proposed in the paper transforms the optimization of the beam pattern into a standard convex optimization problem. Thus there is a paradigm to follow for any array formation, which not only achieves the purpose of Dolph-Chebyshev weighting, but also solves the problem of the increased side lobe when the signal is at end fire direction The simulation proves that the SOCP algorithm can detect the weak target better than the conventional beam forming.
