基于ICPF的步进频率雷达机动目标高分辨率成像处理

High Resolution Imaging of Stepped Frequency Radar of Maneuvering Target Based on ICPF

针对机动目标步进频率回波信号一维距离像模糊的问题,本文提出了基于求和立方相位函数(Integrated cubic phase function,ICPF)的运动参数估计和补偿方法。首先,构建机动目标的步进频率回波三阶相位信号模型,采用一阶差分处理实现相位降阶。其次,计算降阶信号的ICPF,依次估计和补偿加速度以及速度引入的误差相位。然后,对运动补偿后信号进行IFFT处理可以获得目标高分辨一维距离像。其中,对加速度和速度的估计只需要进行一维搜索,算法运算量很小。最后,分别在无噪声和较低信噪比的情况下进行计算机仿真,实验结果验证了本文所提方法的有效性。

Distortion will exist in the range profile of the received radar stepped frequency signal of maneuvering target.To solve this problem,the integrated cubic phase function(ICPF)method is presented in this paper.First,the received signal is characterised as a three-order phase signal and performed with 1st-order differential operation.Next,ICPF of the processed back data is calculated to estimate and compensate the acceleration through dechirp operation.In addition,the estimation and compensation of the velocity of the residual signal are operated as well.Then the target′s high resolution range profile can be obtained by IFFT.As the estimation of acceleration and velocity requires 1-D searching merely,the computational amount is quite small.Finally,the simulation is carried out in the situations of noiseless and low signal-to-noise ratio,and the test results prove the validity of this method in the paper.