组网雷达弹道目标三维进动特征提取

针对单部雷达观测目标存在视角局限性的问题,提出了一种基于组网雷达的弹道目标三维进动特征提取法.首先,雷达网中各雷达分别从弹道目标的时间距离像信号中求得强散射点径向距离变化线性和信号,通过频谱分析估计出目标的自旋、锥旋频率以及进动角;然后,组网雷达通过系数加权法对各雷达得到的上述参数进行融合处理以提高参数精度;最后,根据雷达观测视角与微多普勒信号之间的关系,通过构造多元非线性方程组,进一步精确求解目标的三维进动参数.仿真实验证明,该方法既有效地提高了参数的估计精度,又得到进动目标的三维微动参数.

Extraction of three-dimensional precession features of ballistic targets in netted radar

To solve the problem of angle limitation of the single radar, a method for extracting three-dimensional precession characteristics of the ballistic target based on netted radar is proposed. Firstly, the linear sum signal of the scatters' radial distance is independently estimated from the time-profile signal by radar in the radar net, and the precession parameters can be extracted by the sum signal's spectral characteristics. Then to improve the precision of the estimation of parameters the above parameters are fused by the method of weighted coefficient. Lastly, making use of the relationship between the multi-view of netted radar and the micro-Doppler signal, the three-dimensional micro-motion features are obtained by solving nonlinear multivariable equation systems. Simulation results prove that the method can lead to both the high estimating precision and the three-dimensional micro-motion parameters.