基于图像旋转匹配的组网雷达ISAR图像横向定标

基于组网雷达观测模型,分析了在多部雷达同时观测条件下所得ISAR图像之间的对应关系,提出了一种基于图像旋转匹配的转角估计办法,通过对旋转速度的一维搜索实现了目标角速度的估计。仿真结果表明,本算法能基于组网雷达所获得的多幅ISAR图像实现目标转角的稳健估计,实现ISAR图像横向定标。所提算法可对慢运动目标或平动补偿后的回波信号进行处理,适用于不同带宽、不同中心频率的宽带雷达组网形式。     

Analysis of inverse synthetic aperture radar imaging in the presence of time-varying plasma sheath

The plasma sheath can induce radar signal modulation, causing not only ineffective target detection, but also defocusing in inverse synthetic aperture radar (ISAR) imaging. In this paper, through establishing radar echo models of the reentry object enveloped with time-varying plasma sheath, we simulated the defocusing of ISAR images in typical environment. Simulation results suggested that the ISAR defocusing is caused by false scatterings, upon which the false scatterings’ formation mechanism and distribution property are analyzed and studied. The range of false scattering correlates with the electron density fluctuation frequency. The combined value of the electron density fluctuation and the pulse repetition frequency jointly determines the Doppler of false scattering. Two measurement metrics including peak signal-to-noise ratio and structural similarity are used to evaluate the influence of ISAR imaging