摘要
针对空间自旋目标的回波特性,提出了一种基于径向基函数(RBF)网络与正交匹配追踪(OMP)算法的自旋目标成像方法,并分析了该方法的成像质量.当空间目标自旋运动时,其等效视角的变化容易产生散射点的周期性遮挡和散射强度显著起伏,而已有的基于散射点投影路径逐点匹配方法未考虑这些效应而导致成像效果的下降.为此采用RBF网络建立了发生散射点遮挡与起伏效应后目标空间到回波序列的非线性投影过程,并利用OMP算法对一维距离像序列进行反投影匹配,实现了结构较复杂的空间自旋目标的成像(目标空间的全局优化解).最后结合电磁仿真软件产生的空间目标回波数据进行了仿真,仿真结果验证了该方法的有效性.
A novel method based on radial basis function （RBF） network and orthogonal matching pursuit （OMP） algorithm was proposed with the analysis of the space spinning target echoes. The occlusion and glint effects of the scatters can be easily induced by the equivalent angle variation of the spin motion. These effects, which have never been considered, will cause the degradation of the traditional pathmatching methods. With the approximation capability of fuzzy systems, the RBF network was used to construct the projecting from the target to the echo sequence with the occlusion and glint effects in the new method. And the OMP algorithm was utilized for the back-projection matching of the range profiles in order to obtain the final image of the spin target （the globally optimal solution of the object space）. Simulation indicates the effectiveness of the rnothnct
基金
国家自然科学基金(61172155)资助
关键词
雷达成像
自旋目标
RBF网络
OMP算法
radar imaging
spinning target
radial basis function network
orthogonal matching pursuit
