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Off-Board Sensor Cross Cueing to Predator

机译:捕食者的机外传感器交叉提示

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This paper reviews activities the USAF UAV Battlelab has completed and will conduct torndevelop off-board sensor cross cueing architectures to the Predator UAV. The ability tornget ground moving target indicator (GMTI), signals intelligence (SIGINT), and theaterrnballistic missile (TBM) warning data into the Predator ground control station (GCS)rnsignificantly enhances the UAV's ability to find, fix, and track enemy targets. Three UAVrnBattlelab demonstrations utilizing the three-dimensional terrain visualization tool,rnPowerScene, will be reviewed. The first demonstration focused on receiving a satelliterndownlink of Joint Surveillance Target Attack Radar System (JSTARS) MTI to thernPredator GCS, while the second reviews the advantage of receiving the SIGINT andrnTBM warning picture in near-real-time. The third demonstration involves internal crossrncueing between the Predator's Tactical Endurance Synthetic Aperture Radar (TESAR)rnand its electro-optical/infrared (EO/IR) sensor. By supplying the UAV crew a bird's eyernview of the battlespace; as well as, seeing the battlefield from the Predator's ownrnperspective the crew is able to quickly direct its search in areas of potential mobilerntargets, active radars, and missile launches. This additional visualization allows the crewrnto better manage their search time, narrow their initial search in areas of known targets,rnprovide EO/IR images of the potential target, and monitor risk to their mission airrnvehicle. The collaborative value of networking the 3-D terrain visualization tools withrnadditional off-board intelligence data between the Predator GCS, UAV SquadronrnOperations Center, and Air Operation Center (AOC) will be discussed. Highlights fromrnJoint Expeditionary Force Experiment 2000 of UAV cross cueing efforts will bernpresented. To be a good "hunter" and survive behind enemy lines, the Predator crewrnneeds the near-real-time information that is currently available to detect enemyrnmovement and operating locations.
机译:本文回顾了USAF无人机Battlelab已完成的活动,并将对Predator无人机进行拆装式机外传感器交叉提示架构。将地面移动目标指示器(GMTI),信号情报(SIGINT)和战区弹道导弹(TBM)警告数据输入捕食者地面控制站(GCS)的能力大大增强了无人机寻找,固定和跟踪敌方目标的能力。将审查使用三维地形可视化工具rnPowerScene的三个UAVrnBattlelab演示。第一个演示的重点是接收联合监视目标攻击雷达系统(JSTARS)MTI与rnPredator GCS的卫星下行链路,而第二个演示则回顾了近实时接收SIGINT和rnTBM警告图片的优势。第三次演示涉及捕食者的战术耐力合成孔径雷达(TESAR)与其电光​​/红外(EO / IR)传感器之间的内部交叉检测。通过向无人机乘员提供战场的鸟瞰图;而且,从捕食者自己的视角看待战场,乘务员还能够迅速将搜索范围引向潜在的可移动目标,有源雷达和导弹发射区域。这种附加的可视化功能使机组人员可以更好地管理他们的搜索时间,将其初始搜索范围缩小到已知目标的区域,提供潜在目标的EO / IR图像,并监视其飞行任务的风险。将讨论在捕食者GCS,UAV中队作战中心和空中作战中心(AOC)之间将3-D地形可视化工具与其他机外情报数据联网的协作价值。无人机跨提示工作联合远征军实验2000中的要点将被介绍。为了成为一名优秀的“猎人”并在敌后躲藏,捕食者需要近乎实时的信息,目前该信息可用于检测敌军的行动和作战地点。

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