角分集ISAR高分辨成像

对不同视角雷达回波进行融合可以形成大的相干积累角,显著增强雷达空间监控能力。给出一种角分集(制)信号融合成像方法,对于角分集(制)回波方位向存在大的间隔,首先将每一距离单元方位向有效稀疏孔径数据排列组合成一Hankel矩阵,由参数化方法估计一维信号参数,再由估计得到的参数对空缺部分预测填补,对每个距离单元横向补全后,压缩得到二维图像。该方法克服了以往预测方法的不足,能有效用于方位向稀疏孔径预测外推,最终仿真与实际数据处理结果证实结论。

High-resolution ISAR Imaging with Angular Diversity

Fusing radar echoes of different fight angles may form a big coherent accumulated angle,which can obviously enhance the radar's space monitoring capability.A signal fusing imaging method for angular diversity is proposed.For gapped angular diversity data in cross range,firstly,arrange valid sparse aperture data in each cross range to form a Hankel matrix,estimate one-dimension signal parame- ter with parameterization method,then,fill in the loss data for each range with estimated parameters.After the data is filled in completely and compressed,the 2D image will be obtained.The proposed method can overcome shortages of previous methods.It can be used for sparse aperture prediction extrapolation in cross range.The final simulation and processed result of measured data confirm the conclusion.