基于一维距离像的飞机目标识别

针对基于多散射中心模型回波的一维距离像(High Resolution Range Profile, HRRP)难以真实反映复杂目标散射特性的问题,研究了基于电磁散射模型回波的生成方法和HRRP 宽带特征提取方法。首先应用等效电磁流法(Method of Equivalent Currents, MEC)棱边修正的物理光学(Physical Optics, PO)算法解算飞机目标动静态电磁散射特性;其次基于目标散射场数据,生成目标回波、仿真HRRP 序列,提取目标宽带特征信息;最后求解了目标在设定航迹下的平均识别率,量化分析了信噪比对目标识别率的影响。理论分析与仿真结果表明:当信噪比(Signal to Noise Ratio, SNR)大于5 dB 时,基于电磁散射建模的平均识别率相对基于传统的多散射中心模型提升了20%。

Aircraft Target Recognition Based on HRRP

As to the absence of the real full scattering characteristics for the complex aircraft targets high resolution range profile (HRRP) based on scattering center model, the echo wave simulation and feature extraction for HRRP based on electromagnetic scattering model are discussed. First, the static and dynamic radar cross section (RCS) statistics of the aircraft targets are calculated utilizing physical optics (PO) and method of equivalent currents (MEC). Then the echo wave and HRRP are simulated and the broadband feature is extracted based on RCS statistics data. Ultimately, the average recognition rate of the aircrafts under the set track is resolved and a model for quantitative analysis of the relative between the signal-to-noise ratio and the recognition rate is proposed. Theoretical analysis and simulation results indicate that the average recognition rate based on the electromagnetic scattering boost 20% than that based on the traditional scattering center model when the signal-to-noise ratio is more than 5 dB.