基于多视角距离像的弹道目标三维微动特征提取

针对现有估计方法提取散射点类型单一以及工程实现较为困难的问题,提出了一种基于组网雷达的多视角距离像提取三维进动特征方法。利用雷达网中各雷达多视角观测弹道目标,提取目标的距离像序列信号,求得最强2散射点在雷达视线上的投影长度,提取目标投影长度随时间变化的关系,利用最小二乘估计对关系式中的参数进行估计。运用组网雷达的多视角特性,根据不同视线方向上不同进动角频率的投影分量,提取目标三维微动特征。计算机仿真验证了提取方法的可行性与有用性,估计效果达到预期目的。

Three-Dimensional Micro-motion Feature Extraction of Ballistic Target Based on the Multi-view Range Profile

To solve the problem of single scattering point type of feature extraction of existing estimation method, and the difficulties of engineering implementation, a kind of method for extracting three-dimensional precession features based on netted radars is proposed. Firstly, the length of the radar line of sight direction between two strongest scattering points is obtained by using the netted radar to observe range profile sequences of ballistic target, and the relation that projected lengths with time is extracted. Then, the parameters in the equation is estimated by the Least squares estimated method (LSCE). After that, profited from the multi-view of netted radar, Three-Dimensional Precession Features is extracted on the basis of projected components of different precession angular frequency. Computer simulation proves the effectiveness and stability of the extraction method, and the results reach up to the expected effects.