联合三阶Keystone变换与相关函数的机动目标补偿算法

在机载脉冲多普勒雷达中，针对高机动目标的运动补偿问题，本文提出了一种基于联合三阶Keystone变换、相关函数与尺度变换的距离维和多普勒维走动校正方法。首先对回波信号进行传统的脉冲压缩处理，接着对慢时间维进行三阶Keystone变换处理并构造自相关函数，进行慢时间变量的相参积累，从而补偿掉机动目标引起的所有距离走动现象；之后对自相关函数的慢时间变量进行尺度变换，并对尺度变换后的信号针对时延和慢时间进行二维FFT变换，从而消除掉目标的多普勒散焦现象，得到目标聚焦峰值点，顺利地进行目标检测。仿真实验验证了方法的有效性。

A Maneuvering Target Compensation Algorithm Based on Third-Order Keystone Transform and Correlation Function

In pulse Doppler (PD) radar, the detection of maneuvering target is very difficult. For the maneuvering target with third-order motion model, a signal integration algorithm based on third-order Keystone transform, correlation function and scaling change is proposed. Firstly, the echo signal is traditionally compressed by pulse compression. Then, the slow time dimension is processed by the third-order Keystone transformation and the autocorrelation function is constructed, and the phase reference accumulation of the slow time variable is carried out, so as to compensate for all the distance movement phenomena caused by the maneuvering target. After that, the slow time variable of the autocorrelation function is scaled, and the signal after the scale transformation is performed two-dimensional FFT for delay and slow time, so as to eliminate the Doppler defocus phenomenon of the target, obtain the peak point of the target focus, and smoothly detect the target. Simulation experiments verify the effectiveness of the proposed algorithm.