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

Reconstruction and Extraction Methods for Micro-Doppler Feature of Ballistic Missile Precession with Sparse Frequency-stepped Chirp Signal

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.