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目标高速运动会使回波脉冲压缩结果畸变,导致ISAR的传统R-D成像算法失效。据此,提出了一种基于调频傅里叶变换的高速目标成像算法。该算法对去斜差频信号进行调频傅里叶变换,得到每个回波的距离和速度估计,对成像积累时间内的速度估计值求平均,得到目标的精确速度估计,以此构造补偿信号消除脉内和脉间走动,从而得到正确的成像结果。由于调频傅里叶变换在脉冲重复周期内完成,所以该算法能满足实时性要求。该算法能同时进行目标运动参数估计和成像,且算法结构简单,抗噪能力强,易于工程实现。
The target high-speed motion will distort the echo pulse compression result, resulting in the failure of ISAR’s conventional R-D imaging algorithm. Based on this, a high-speed target imaging algorithm based on frequency-hopping Fourier transform is proposed. The algorithm carries out the frequency-hopping Fourier transform on the desorbed difference frequency signals to get the distance and velocity estimation of each echo and averages the velocity estimation values in the imaging accumulation time to get the accurate velocity estimation of the target so as to construct the compensation signal Eliminate the pulse and move around to get the correct imaging results. Because the FM Fourier transform is completed within the pulse repetition period, the algorithm can meet the real-time requirements. The algorithm can estimate and image the target motion parameters at the same time. The proposed algorithm has the advantages of simple structure, strong anti-noise ability and easy implementation.