摘要
研究运动目标成像的关键技术:距离迁徙校正和运动参数检测。利用广义二阶key-stone变换校正距离迁徙,提出不同消失矩的小波检测运动参数方法,适合硬件实现。通过广义二阶key-stone变换和Radon变换实现多运动目标数据的分割;超分辨方法处理获得清晰的多运动目标图像。通过X波段SAR运动目标实际数据验证了算法的有效性,在高信杂比的情况下,可得到比时频分析方法分辨率更高的运动目标图像。
The key technologies of moving targets imaging which is both correcting range migration and detecting moving parameters are researched. Two order of general keystone transform are proposed to correct the effects of range migration. We bring forward to a novel algorithm of detecting parameters of vehicles, which are based on wavelets filters with different vanishing moment. The new algorithm is fit to realize by hardware. In high signal to clutter rate, the result has better resolution than that based on wigner-ville distribution. Two orders of general key-stone transform and Radon transform are used to cut apart data of multiple moving targets. Supper resolution processing can further enhance the imagery resolution of multiple moving targets so that the distance is less than SAR resolution. The method successes in processing the real multiple moving targets' data of single channel SAR in X waveband.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第8期1164-1168,共5页
Systems Engineering and Electronics