基于参数化时频分析的机动目标ISAR成像方法

对于机动目标,运动补偿后目标相对于雷达并不是标准的转台目标,目标的多普勒是时变的,此时传统的距离多普勒成像算法不能得到很好的成像效果.论文分析总结了几种针对非匀速转动的时频联合分析算法,提出了一种基于参数化时频分析--AGCD快速算法的ISAR成像算法,并且用机动目标的仿真数据进行了验证,验证结果表明了该算法具有精度高、速度快且无交叉项的优点,比传统的算法有较大的改进.

ISAR Imaging Method of Real Data Based on the Parametric Time-Frequency Analysis

After motion compensation, the rotation of the maneuvering target is not uniform, but variable in time, so the traditional range-Doppler imaging method can not get clear images. This paper analyses and compares several time-frequency analysis methods to image the real flying target data, proposes a new imaging method based on the parametric time-frequency signal analysis-AGCD algorithm. This method has advantages of high accuracy, less computation time and none cross terms. It is shown by simulation that the proposed method can get better imaging results.