小区域防空作战空情信息处理方法研究

Research on the Air Information Processing Method in Small Area Air Defense Operation

针对小区域防空作战的特点,分析了防空武器对空情信息的处理流程,研究了航迹滤波、航迹关联和航迹融合算法。采用三阶最小二乘算法对航迹进行滤波处理,完成航迹的时空配准;采用模糊聚类的方法进行航迹关联,并提出了解决关联多义性的处理方法;采用序贯式融合算法完成航迹的融合。仿真结果表明,该空情信息处理法方法具有关联正确率高、融合精度好的优点,在小区域防空作战中具有潜在的应用价值。

Aiming at the characteristics of small area air defense operation, the processing flow of air information by the air defense weapon was analyzed, with the algorithms of track filtering, track association and track fusion studied. Firstly, the third-order least squares method was used to filter the track and complete the space-time registration of the track. Then, the fuzzy clustering method was used to correlate the track, with a method to solve the ambiguity of the correlations proposed. Finally, the sequential fusion algorithm was used to complete the fusion of the track. The simulation results show that the air information processing method has the advantages of high correlation accuracy and good fusion accuracy and has potential application value in small area air defense operations.