研究了数据融合技术在对海无人机侦察探测与目标指示过程中的应用, 提出一种具有工程应用价值的对海目标航迹融合算法。通过时空对准、数据关联、航迹合成及航迹文件管理、融合跟踪滤波等处理, 完成了对机载传感器探测目标的航迹融合; 形成了统一的战场态势信息及高精度的目标指示信息, 为战场态势感知及目标打击提供了强有力的信息支撑。通过仿真验证, 证明了算法的有效性及其较高的工程应用价值。

The application of data fusion technology in Navy Unmanned Aerial Vehicle (NUAV) for reconnaissance,detection and target indication process is studied,and a track fusion algorithm for marine target is proposed.The track fusion of airborne sensors in target detection is implemented through such processes as time/space alignment,data association,track synthesis,track file management,and fusion tracking filtering.Thus the unified battlefield situation information and high-precision target indicating information can be obtained,which provides a strong information support for battlefield situation awareness and target attacking.The simulation results show that the algorithm is valid and has high engineering application value.