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GUNSHOT ACOUSTIC SIGNATURE SPECIFIC FEATURES AND FALSE ALARMS REDUCTION

机译:枪炮声签名的特殊功能和假警报的减少

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摘要

This paper provides a detailed analysis of the most specific parameters of gunshot signatures through models as well as through real data. The models for the different contributions to gunshot typical signature (shock and muzzle blast) are presented and used to discuss the variation of measured signatures over the different environmental conditions and shot configurations. The analysis is followed by a description of the performance requirements for gunshot detection systems, from sniper detection that was the main concern 10 years ago, to the new and more challenging conditions faced in today operations. The work presented examines the process of how systems are deployed and used as well as how the operational environment has changed. The main sources of false alarms and new threats such as RPGs and mortars that acoustic gunshot detection systems have to face today are also defined and discussed. Finally, different strategies for reducing false alarms are proposed based on the acoustic signatures. Different strategies are presented through various examples of specific missions ranging from vehicle protection to area protection. These strategies not only include recommendation on how to handle acoustic information for the best efficiency of the acoustic detector but also recommends some add-on sensors to enhance system overall performance.
机译:本文通过模型以及真实数据,对枪击签名的最具体参数进行了详细分析。提出了针对枪支典型特征(冲击和枪口爆炸)的不同贡献的模型,并用于讨论在不同环境条件和射击配置下测得特征的变化。在分析之后,描述了枪击检测系统的性能要求,从十年前主要关注的狙击检测到如今操作中面临的新挑战。提出的工作检查了系统如何部署和使用以及操作环境如何变化的过程。还定义并讨论了错误警报和新威胁(如RPG和迫击炮等新威胁)的主要来源,而这些声音如今已成为声炮检测系统必须面对的问题。最后,基于声学特征提出了减少误报的不同策略。通过具体任务的各种示例,提出了不同的策略,从车辆保护到区域保护。这些策略不仅包括有关如何处理声学信息以实现声学检测器最佳效率的建议,而且还推荐一些附加传感器来增强系统的整体性能。

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