摘要
该文提出一种新的参数化聚焦算法,该算法采用互谱MUSIC(Cross Spectrum MUSIC,CSMUSIC)技术,能够在星载分布式SAR上得到精确聚焦的地面运动目标图像。首先,利用方位向回波信号的空时特性推导出扩展空时模型(Extended Space-Time Model,ESTM);根据该模型,提出一种基于子空间理论的参数估计方法,通过该方法能够精确地得到的动目标方位向速度,从而得到精确聚焦的图像,该方法比传统的星载SAR动目标聚焦方法具有更高的估计精度和更小的运算量。仿真实验将该方法与传统的动目标聚焦方法进行对比,以证明该文所提方法的上述优势。
A novel parametric focusing algorithm, using the Cross Spectrum MUSIC(CSMUSIC) method, is presented to obtain a finely focused image of ground moving target on spaceborne distributed SAR. By exploiting the space-time property of the azimuth echo signal, an Extended Space-Time Model(ESTM) is firstly introduced. Then on the basis of this model, a parametric estimating method based on subspace theory is presented to estimate the azimuth velocity of moving target and to obtain an image of finely focused. The proposed method has higher precision and lower calculation burden than the conventional algorithms. The simulation results indicate that the proposed method is verified to be more efficient in contrast with the conventional algorithms.
出处
《电子与信息学报》
EI
CSCD
北大核心
2014年第8期1905-1911,共7页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61271343)
高等学校博士学科点专项科研基金(20122302110012)资助课题
关键词
分布式SAR
参数估计
互谱MUSIC
动目标聚焦
Distributed SAR
Parameter estimation
Cross Spectrum MUSIC(CSMUSIC)
Moving target focusing