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

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。

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

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.