ISAR成像中多径效应的消除

对于逆合成孔径雷达(ISAR)而言,多径效应会在ISAR的二维目标重建像上引入两个伪像,这将会影响雷达的目标识别与分类.为了消除ISAR像重建中的多径效应对于ISAR成像的影响,应用二维图像熵作为代价函数并通过模拟退火算法来搜寻对应于最优参数的最小图像熵,从而可以实现对目标参数的估计,进而消除多径效应的影响.仿真结果显示,这种方法可以有效地消除ISAR像的伪像,并为下一步的目标识别和分类奠定了基础.

Multipath Effects Cancellation in ISAR Image Reconstruction

For inverse synthetic aperture radar (ISAR), the multipath effects introduce two artifacts in its reconstructed images, which greatly hinders radar target recognition and classification. A novel technique was developed for multipath effects cancellation in ISAR image reconstruction. This technique was based on a parametric estimation method using two-dimensional image entropy as its cost function and realized via simulated annealing (SA) algorithm to search the optimum parameters corresponding to the minimum image entropy. Simulation results show encouraging qualities of ISAR images after multipath effects cancellation, which also confirms the feasibility of this technique.