基于时频分布级数的时频ISAR成像  

Reconstruction of ISAR imaging using time-frequency distribution series method

作　　者：彭军[1,2] 刘丹[2] 王光明[1] 袁昊天[2] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800 [2]北京无线电测量研究所,北京100854

出　　处：《计算机工程与设计》2008年第22期5878-5880,共3页Computer Engineering and Design

摘　　要：传统的逆合成孔径雷达(ISAR)成像算法用傅立叶变换进行频谱分析,对机动目标的成像会导致成像模糊。应用了时频分布级数方法代替传统的傅立叶变换对机动目标进行瞬时成像,得到一个三维的时间-距离-多普勒阵,对时间进行采样即得到瞬时的二维距离-多普勒像。它不仅具有很好的分辨率,还具有瞬时信息,并克服了短时傅立叶变换低的时频集聚性和魏格纳分布交叉项严重的缺点。仿真结果表明,通过该方法能得到清晰的目标的距离-瞬时多普勒像。Conventional ISAR imaging uses the Fourier transform to retrieve Doppler information. Due to the complex motion of a target, the image is blurred. By replacing the conventional Fourier processor with the time-frequency distribution series （TFDS） processor, a 2-Drange-Dopple Fourier ISAR frame becomes a 3-D time-range-Doppler ISAR cube. By ISAR sampling in time, a time sequence of 2-Drange-Doppler images that provides not only superior resolution but also the temporal information can be viewed. The proposed TFDS is much better than STFT and WVD, which not only keeps good time-frequency concentration but also reduces the interference terms. Simulation data prove this method can get good radar temporal image for maneuvering target.

关 键 词：逆合成孔径雷达 机动目标 时频分析 时频分布级数 瞬时像 

分 类 号：TN958[电子电信—信号与信息处理]