基于压缩感知的多目标认知成像方法

为利用有限雷达资源实现对多ISAR目标的实时高分辨成像，提出了一种基于压缩感知的相控阵雷达多目标稀疏孔径认知高分辨成像方法．在对目标稀疏特性认知的基础上，构建了基于目标横向稀疏度和成像积累时间的雷达资源动态分配函数，并给出了成像质量评估标准，最终实现了有限雷达资源条件下不同ISAR目标的高分辨认知成像．仿真结果表明，利用该方法成像不仅可以减少雷达成像发射脉冲数，而且可以有效减少雷达观测时间，同时还能获得高质量的目标ISAR像．

Method of Multi-target Cognitive Imaging Based on Compressed Sensing

In order to realize the real-time high resolution imaging of multi-ISAR targets by utilizing the finite radar resource, this paper puts forward a method for high resolution imaging of phased array radar using the multi target sparse aperture cognition based on compressed sensing. On the basis of cognition of target sparse features, the dynamic allocation function of radar resources is set up based on the targets＇ lateral sparseness and imagination accumulation time, and the assessment standards for imaging quality are given, thus eventually achieving the high resolution cognitive imaging of various ISAR targets on the condition of finite radar resources. Simulation results indicate that the imaging using this proposed method can not only reduce the pulse numbers for radar imaging, but also shorten the observation time of radars effectively, and meanwhile achieve the target＇ s ISAR image with high quality.