主、被动雷达数据融合算法研究

Study on Data Fusion Algorithm of Active and Passive Radars

对主、被动雷达的数据融合问题进行了研究。由于被动雷达只能测角 ,不能测距 ,当其与目标间的相对加速度为零时 ,目标的距离状态是不可观的 ,若只利用角度信息进行主、被动雷达数据互联 ,则当同一方向上有两个以上目标时 ,主、被动雷达的正确相关率较低。针对这种情况 ,提出了被动雷达利用伪距离测量方法来估计目标的径向距离信息 ,从而可利用主、被动雷达的角度和径向距离信息进行数据互联 ,并给出了直角坐标系下的数据互联算法。仿真结果表明 ,利用提出的方法可使主、被动雷达可达到较好的数据融合效果。

Data fusion problem of active and passive radars is studied in this paper. Since only angle measurement can be used in passive radar, the range state of a target is unobservable when the relative acceleration between the target and the passive radar is zero. If angle measurement is only used in data association, when there are two or more targets in the same direction, the correct association probability between active and passive radars is low. In the paper, a pseudo-range measurement method is presented to estimate the range measurement of passive radar. So both range measurement and angle measurement can be used in data association, and a data association algorithm in Cartesian coordinates is also given. The simulation results show that the correct association probability between the active and passive radars is high by using the method discussed in the paper. \;