越来越多的空天威胁目标兼具低可观测性和高机动性,因此从低信噪比的距离扩展目标回波中重构高分辨距离像(HRRP)面临很高的技术挑战。文中提出了一种基于相邻互相关-吕分布-Keystone变换的长时间相参积累方法,能够实现变加速运动距离扩展目标的运动参数估计和HRRP重构。首先,利用相邻互相关函数与吕分布实现机动参数估计;然后,根据机动参数估计值进行相位补偿,并联合Keystone变换校正距离徙动;最后,进行相参积累并实现HRRP重构。仿真实验和实测数据处理结果表明:该方法能够实现运动参数估计与HRRP稳健重构。此外,该方法避免了高维参数搜索,计算效率高,具有良好的工程应用前景。

An increasing number of air and space threat targets have both low observability and high maneuverability, so reconstructing high resolution range profiles (HRRP) from the echoes of range spread target (RST) with low signal-to-noise ratio faces a high technical challenge. To achieve motion parameter estimation and HRRP reconstruction of RST with variable acceleration motion, a long-time coherent integration (LTCI) method based on the adjacent cross correlation function-Lv′s distribution-Keystone transform is proposed. Firstly, the maneuvering parameters are estimated using the adjacent cross correlation function and Lv′s distribution. Secondly, the phase compensation is performed according to the estimated maneuvering parameters, and the range migration is corrected by the combination with Keystone transform. Finally, the LTCI is performed and HRRP reconstruction is realized. The simulation experiments and the processing results of the real data show that the proposed method can achieve the estimation of the maneuvering parameters and the robust reconstruction of HRRP. In addition, the method avoids high dimensional parameter search and has high computational efficiency, which presents good prospects for engineering applications.

TN957.51

国家自然科学基金资助项目