基于三次相位补偿的运动目标参数估计

Parameter Estimation for Moving Target Based on Three-phase Compensation

  • 摘要: 针对加速度在合成孔径雷达运动目标检测中会产生三次相位影响静止目标抑制和参数估计精度的问题, 提出基于三次相位补偿的参数估计方法. 在分析信号模型的基础上, 通过在时间-调频率平面内采用类似Dechirp和一维搜索的方法实现三次相位的补偿; 完成相位补偿后, 为克服某些时频分布中峰值重叠可能带来的目标丢失问题, 利用改进的分数阶傅里叶变换方法进行运动目标参数估计, 并给出了具体的参数估计方法. 最后, 计算机仿真验证了该方法的正确性和有效性.

     

    Abstract: Target acceleration of SAR moving target detection results in three-phase, and affects stationary target suppression and the precision of parameter estimation. Aiming at this problem, a parameter estimation method based on three-phase compensation is proposed. According to the analysis of signal model, phase compensation is achieved by dechirp and one-dimensional search in time-chirp distribution. After the phase compensation, in order to overcome potential problem of target loss caused by peak overlap in time-frequency distribution, an improved FrFT is employed for parameter estimation and the method is given in detail. Finally, the computer simulation confirms the correctness and validity of the method.

     

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