机载雷达信号连续稳定跟踪定位算法研究

Research on continuous and stable tracking and positioning algorithm for airborne radar signals

针对时差定位系统对机载雷达信号多站同时截获概率低、时差定位轨迹不连续的问题,研究了利用多种目标运动轨迹特征,结合时差定位和交互式多模型滤波算法预测时间差变化趋势,反推时间差再对原时间序列进行插值。通过典型运动场景模拟仿真验证,该算法具有较理想的跟踪定位性能。

In view of the low probability of intercept of the time difference of arrival(TDOA)location system for airborne radar signals and discontinuous TDOA tracks,the features of multi-target motion tracks are studied,and the change trend of time difference is predicted in combination with the TDOA and the interacting multiple model(IMM)filtering algorithm.The time difference is deduced,and then the original time sequence is interpolated.It is verified that the algorithm has ideal tracking and positioning performance via the simulation of typical motion scenarios.