基于最大熵谱估计的距离-多普勒成像

Range-Doppler Imaging Based on Maximum-entropy Based Spectrum Estimation

提出一种目标超分辨逆合成孔径(ISAR)成像方法。该方法首先利用最大熵谱估计的方法对雷达宽带测量数据进行外推处理,然后对经过外推处理后的数据采用距离-多普勒原理进行ISAR成像,最后采用仿真数据和实际测量数据进行实验验证。实验结果表明,该方法对目标ISAR成像分辨率有明显提高,对用传统方法不能进行的ISAR成像数据,采用该方法成像效果有明显改进;且计算量不是很大,易于工程实现。

A new method for super-resolution ISAR imaging is presented in this paper. A maximum-entropy based spectrum estimation method is adopted to extrapolate data first; then, Range-Doppler method is used to obtain ISAR image. Simulated data and measured data show that this method improves the resolution of ISAR images significantly, and for data which can not be well ISAR imaged, good images can be obtained with this method. Computation load is not heavy so that engineering realization is easy.