稀疏线性调频步进信号弹道导弹进动微多普勒特征重构与提取方法

摘要

通过理论推导分析了线性调频步进信号(FSCS)体制下弹头进动的微多普勒特征,并结合压缩感知(CS)理论,提出一种基于频谱稀疏FSCS的微多普勒谱图重构方法.该方法可在大幅减少FSCS子脉冲个数的条件下,准确重构出微多普勒谱图信息,同时,有效抑制了谱图中旁瓣的影响.在此基础上,针对CS理论重构出的微多普勒谱图,利用弹头进动微多普勒在谱图上的特征曲线的光滑性,提出一种基于动态规划的弹头进动微多普勒信息提取方法,并利用该方法准确提取到弹头进动微多普勒信息.仿真验证了文中方法的有效性和鲁棒性.%Some micro-Doppler features of ballistic missile precession with frequency-stepped chirp signal (FSCS) were analyzed theoretically. Combined with compressed sensing (CS) theory, a new method of micro-Doppler spectrum reconstruction method based on sparse FSCS was proposed. The spectrum information can be reconstructed exactly, in obviously reduced sub-pulses of FSCS, and the side-lobes of spectrum can be effectively suppressed. Furthermore, aimed at the reconstructed spectrum, a new extraction method for micro-Doppler features of ballistic missile precession was proposed on the basis of dynamic planning, by using the smooth character of micro-Doppler curves. The effectiveness and robustness of the method was validated numerically.