数据融合概念应用于一套不同的传感器

É. Bossé, J. Roy, D. Grenier
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引用次数: 36

摘要

本文讨论了数据融合应用于一组不同传感器的可行性和实用性。该套件包括监视雷达、前视红外(FLIR)、电子支持测量(ESM)、敌我询问(IFF)、合成孔径雷达(SAR)、声学传感器和数据链(link 11)。分析了适用的传感器融合过程,然后讨论了预期的性能改进。最后,提出了一种具有可恢复步骤的三步渐进方法,其中可以根据技术的可用性和传感器的实际状态实现不同程度的融合复杂程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data fusion concepts applied to a suite of dissimilar sensors
This paper presents a discussion on the feasibility and usefulness of data fusion applied to a suite of dissimilar sensors. This suite comprises surveillance radar, forward looking infrared (FLIR), electronic support measurement (ESM), an interrogation friend and foe (IFF), a synthetic aperture radar (SAR), acoustic sensors and a data link (LINK 11). An analysis of applicable sensor fusion processes is presented followed by a discussion on the expected performance improvements. Finally, a three step incremental approach is proposed with recoverable steps where different level of fusion sophistication can be implemented based on the availability of the technology and the actual status of the sensors.
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