针对高速机动目标回波发生距离走动和多普勒走动而无法实现能量有效积累问题, 提出一种基于速度补偿的二阶Keystone-双正交傅里叶变换（SKT-BFT）的相参积累算法。首先, 构建关于速度的一次相位补偿函数, 通过搜索速度值来校正速度引起的线性距离走动; 其次, 采用二阶Keystone变换来校正加速度带来的距离弯曲; 最后, 将慢时间维信号看作线性调频信号, 利用双正交傅里叶变换估计调频斜率来实现能量积累。通过仿真证明, 该算法在低信噪比下可以有效地实现积累, 能够实现单目标和多目标的检测, 与其他算法相比性能较优。

To solve the problem that energy integration cannot be realized effectively due to the range migration and Doppler migration of the echo of high-speed maneuvering targets, this paper proposes an algorithm of coherent integration via the Second-order Keystone-Biorthogonal Fourier Transform (SKT-BFT) based on velocity compensation.Firstly, a phase compensation function of velocity is constructed to correct the linear range migration caused by velocity by searching the velocity.Secondly, the second-order Keystone transform is used to correct the range bending caused by acceleration, which can also be called second-order range migration.Finally, the slow temporal-dimension signal is regarded as a Linear Frequency Modulation (LFM) signal, and the energy integration is realized by using the biorthogonal Fourier transform to estimate the chirp slope.It can be proved by simulation that this method can effectively realize the integration under the condition of low Signal-to-Noise Ratio (SNR) and the detection of a single target and multiple targets, which has better performance than other algorithms.