论文部分内容阅读
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 the reconnaissance and target detection of sea UAV is studied. An algorithm for the fusion of sea target trajectory with engineering application value is proposed. Through the integration of time and space, data correlation, track synthesis and track file management, fusion tracking filtering and other processing, the flight path fusion of the target of airborne sensor is completed; a unified battlefield situation information and high-precision target indication information are formed , Providing powerful information support for battlefield situational awareness and target combat. Through simulation, it proves the effectiveness of the algorithm and its high engineering value.