集群微波遥感卫星稀疏随机分布构型成像

The Imaging of Cluster Microwave Remote Sensing Satellites Based on the Sparse Random Distribution

随着对空中/空间目标实时高分辨探测成像的需求日益增长,利用新概念集群体制的微波遥感卫星实现该需求的方式越来越受到重视。针对目前和未来一段时间,我国遥感卫星组网构型呈现的稀疏随机典型特征,本文提出一种基于压缩感知理论的高分辨目标实时成像方法。该方法依托卫星自身特点(稀疏随机构型等约束条件),在不改变目前多颗在轨运行微波遥感卫星相对集群分布状态的前提下,为实现目标的高分辨实时探测提供了一条可能的途径。

The method of utilizing cluster microwave remote sensing satellites brings the attraction,with the increasing demand of real time detection of the space or aerial target. The real time and high resolution imaging method is proposed based on compressed sensing in the paper,according to the characteristic that the remote sensing satellite group is sparse and random for long time. The method provides a possible way of real time and high resolution detection,which will not change the state of the remote sensing satellites operation,under the condition of constraint condition of sparse random distribution.