基于时间分段数据的弹道目标微多普勒时频分析方法

摘要

鉴于反导雷达需要同时保持对多个目标的跟踪而不能对同一目标进行较长时间的连续观测问题，提出了一种基于时间分段数据的时频分析方法。该方法不直接求取理想时间信号，而是结合双线性插值和AR估计求取理想时间信号的相关函数，并以Winger-Ville分布(WVD)方法得到时频图。仿真结果表明，该方法精度高于时域线性插值方法。%As the anti-missile radar is required for keeping the tracking to those multiple targets, simultane-ously rather than the longer for continuously observing the same one target, this paper presents a method for time-frequency analysis based on time slicing data. In this scheme, the ideal time signals are not directly got, while the correlation function of the ideal time signals is acquired by integrating the bilinear interpolation and AR estimation, and the time-frequency graph is obtained by using the WVD method. Simulation results indicate that the proposed method’s precision is higher that the time-domain linear interpolation method’s.