MSPDAF算法在低空监视信息融合中的应用

为了实现对低空空域运行航空器的有效跟踪,进而保障低空空域运行安全,将一次雷达与无源雷达进行组合,运用MSPDAF算法进行两种雷达协同监视的信息融合,并将回波源于目标的概率应用于目标状态估计中.仿真结果表明,该算法相比单独一种雷达的跟踪算法具有更好的融合精度,能够在电磁环境复杂的低空空域中有效地进行目标跟踪,从而可以应用到低空空域航空器的监视,为低空运行提供更高的安全保障.

Application of MSPDAF algorithm in information fusion for low altitude airspace surveillance

In order to achieve the effective tracking of aircraft and guarantee the operation safety in low altitude airspace, the primary and passive radars were combined, and the information fusion for the cooperative monitoring of two kinds of radars was performed with MSPDAF algorithm. In addition, the probability that the echo comes from the target was applied into the target state estimation. The simulation results show that the proposed algorithm can achieve better fusion accuracy and interference immunity than the algorithm with only one kind of radar, and has the capability of effectively tracking the target in the low altitude airspace with complex electromagnetic environment. The proposed algorithm can be used for the surveillance of aircraft in the low altitude airspace and provide higher safety assurance for the low altitude airspace operation.