基于短时谱分析的SISAR运动参数估计及侧影像定标

针对解目标运动参数、多普勒频率和角度之间的非线性方程运算量大且极易陷入局部极值的问题,提出一种估计阴影逆合成孔径雷达(SISAR)目标运动参数的新方法.该方法通过短时谱分析与抽取叠代相结合,提高了估计精度,减少了运算量.在对目标侧影像进行定标时,利用恢复的侧影轮廓中线相位的差分均值消除目标相对于雷达的非线性转动引起的附加相位,获得几乎不受目标运动参数影响的侧影轮廓中线的高度和长度.仿真验证了所提方法的可行性.

Motinon Parameter Estimation and Shadow Profile Scale for SISAR Based on Short Time Spectrum Analysis

The conventional solution to the non-linear equation of the target motion parameters,Doppler frequency and angle needs a great amount of computation and gets the extremum in local easily.A new method of estimating target motion parameters for SISAR is proposed in this paper.The combination of short time spectrum analysis,extraction and iteration has a high estimation precision and a little amount of computation.Then the shadow profile is scaled, the mean of differentiation of the midline phase of shadow profile is used to eliminate the additive phase,which is brought by the non-linear turn of the target.The height and length of shadow profile are hardly influenced by the variety of the target motion parameters.Finally,the feasibility of these methods is shown by the results of computer simulation.