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COBRA ATD Mineflield Detection Model Initial Performance Analysis

机译:COBRA ATD最小采油量检测模型初始性能分析

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A statistical performance analysis of the USMC Coastal Battlefield Reconnaissance and Analysis (COBRA) Minefield Detection (MFD) Model has been performed in support of the COBRA ATD (Advanced Technology ADemonstration) Program under exection by the Naval Surface Warfare Center/Dahlgren Division/Coastal Systems Sensor (NSWC/DD/CSS). This analysis uses the Veidian ERIM International (V-ERIM) MF model from the COBRA Sensor Performance Evaluation and COmputational Tools for mines and minelike clutter objects. These mine detection response distributions were generated from actual COBRA ATD test missions over litto4ral zone minefields. This analysis serves to validate both the utility and effectiveness of the COBRA MFD Model as a predictive MFD performance tool. COBRA ATD minefield detection model algorithm performance results based on a simulated baseline minefield detection scenario (minefield configuration, flight path, and sensor configuration) are presented, as well as results of a MFD model algorithm parametric sensitivity study.
机译:美国海军陆战队作战中心/达格伦分部/沿海系统正在执行美国海军陆战队海岸战场侦察与分析(COBRA)雷场探测(MFD)模型的统计性能分析,以支持COBRA ATD(先进技术示范)计划传感器(NSWC / DD / CSS)。该分析使用来自COBRA传感器性能评估和计算工具的Veidian ERIM International(V-ERIM)MF模型处理地雷和类地物杂物。这些地雷探测响应分布是根据在四面带雷场上的实际COBRA ATD测试任务生成的。该分析可验证COBRA MFD模型作为预测性MFD性能工具的实用性和有效性。提出了基于模拟基线雷场检测场景(雷场配置,飞行路径和传感器配置)的COBRA ATD雷场检测模型算法性能结果,以及MFD模型算法参数敏感性研究的结果。

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