机动目标距离徙动校正与检测算法

摘要

在机动目标的检测中,目标的速度、加速度会产生距离徙动和多普勒徙动的现象,影响机动目标的积累与检测性能.针对上述问题,提出一种基于频率轴反转变换与广义变尺度傅里叶变换的机动目标检测快速非搜索算法.首先在距离频域-方位时域利用频率轴反转变换校正距离徙动,回波信号变为线性调频信号;接着利用Wigner-Ville分布变换核与广义变尺度傅里叶变换对目标参数进行估计;最后在距离-多普勒域完成目标能量的积累.与现有方法相比,所提方法可以快速校正距离徙动,实现非搜索的目标参数估计,计算复杂度低.仿真实验表明,该方法可有效完成机动目标的检测与参数估计.%In the detection for the maneuvering target,the integration and detection performance for the moving targets may slide down due to the defocusing effects of the range migration and the Doppler frequency migration caused by target radial velocity and acceleration.To address these issues,a fast non-searching method based on fast time-frequency axis reversal and generalized scaled Fourier transform is proposed.In this algorithm,the frequency axis reversal transform is firstly applied to correct the range migration.Then,the received signal becomes the linear frequency modulated (LFM) signal,and both Wigner-Ville distribution (WVD) function and generalized scaled Fourier transform are applied to estimate the acceleration and velocity of the moving target.Finally,the moving target is well focused in the range-Doppler domain.Compared with the existing methods,the presented algorithm can fast eliminate the range migration and obtain the motion parameters without any searching procedure and can achieve a good balance between the computational cost and the detection ability as well as parameters estimation performance.Several simulation experiments are provided to demonstrate the effectiveness of the proposed algorithm.