一种基于RELAX的SAR自聚焦算法

该文提出了一种基于RELAX的自聚焦算法。根据多个特显点和杂波同时存在的模型，该算法交替迭代地进行相位校正和散射点参数估计，在精确估计出散射点子回波参数的同时估计出自聚焦所需的相位误差。由于该算法未对杂波和噪声模型作任何假设，可应于绝大多数成像场景，同时该算法可用于估计任何类型的相位误差，因此是一种稳健的自聚焦算法。实际数据处理结果表明该方法是有效的。

AN AUTOFOCUS ALGORITHM FOR SAR BASED ON RELAX

An autofocus algorithm based on RELAX is presented. Assuming there exist multiple dominant scatterers in each range bin (other smaller scatterers are treated as clutter), the algorithm performs the phase error correction and the parameter estimation of the dominant scatterers alternatively by adopting an iterative procedure. The algorithm does not require that the clutter and noise in each range bin to be of certain distribution model, and it can be used to estimate all kinds of phase errors. Thus the algorithm is very robust. The results obtained in autofocusing experiments on real SAR/ISAR data show that the algorithm is very efficacious.