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Sensor and Information Fusion for Improved Hostile Fire Situational Awareness

机译：传感器和信息融合可增强敌对火势态势的意识

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A research-oriented Army Technology Objective (ATO) named Sensor and Information Fusion for Improved Hostile Fire Situational Awareness uniquely focuses on the underpinning technologies to detect and defeat any hostile threat; before, during, and after its occurrence. This is a joint effort led by the Army Research Laboratory, with the Armaments and the Communications and Electronics Research, Development, and Engineering Centers (CERDEC and ARDEC) partners. It addresses distributed sensor fusion and collaborative situational awareness enhancements, focusing on the underpinning technologies to detect/identify potential hostile shooters prior to firing a shot and to detect/classify/locate the firing point of hostile small arms, mortars, rockets, RPGs, and missiles after the first shot. A field experiment conducted addressed not only diverse modality sensor performance and sensor fusion benefits, but gathered useful data to develop and demonstrate the ad hoc networking and dissemination of relevant data and actionable intelligence. Represented at this field experiment were various sensor platforms such as UGS, soldier-worn, manned ground vehicles, UGVs, UAVs, and helicopters. This ATO continues to evaluate applicable technologies to include retro-reflection, UV, IR, visible, glint, LADAR, radar, acoustic, seismic, E-field, narrow-band emission and image processing techniques to detect the threats with very high confidence. Networked fusion of multi-modal data will reduce false alarms and improve actionable intelligence by distributing grid coordinates, detection report features, and imagery of threats.
机译：以研究为导向的陆军技术目标（ATO），名为“传感器和信息融合”，旨在增强敌对火态势感知能力，其独特之处在于用于检测和击败任何敌对威胁的基础技术。在发生之前，之中和之后。这是由陆军研究实验室，军备以及通信和电子研究，开发和工程中心（CERDEC和ARDEC）的合作伙伴共同领导的。它解决了分布式传感器融合和协作态势感知增强的问题，重点是在射击之前检测/识别潜在敌对射击者的基础技术，并在敌对小武器，迫击炮，火箭，RPG和导弹后第一枪。进行的现场实验不仅解决了各种形式的传感器性能和传感器融合优势，而且收集了有用的数据来开发和演示临时网络以及相关数据和可行情报的传播。在该现场实验中代表的是各种传感器平台，例如UGS，军用，载人地面车辆，UGV，UAV和直升机。该ATO继续评估适用的技术，包括回射，紫外线，红外，可见光，闪光，激光雷达，雷达，声波，地震，电场，窄带发射和图像处理技术，以非常高的信心检测威胁。网络化的多模式数据融合将通过分配网格坐标，检测报告功能和威胁图像来减少误报并提高可操作的情报。

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