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Accuracy Study on Shooter Localization Using Incomplete Acoustic Measurements

机译:使用不完全声学测量的射手定位精度研究

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This paper deals with data fusion of acoustic measurements of multiple sensors for the purpose of shooter localization. Muzzle blast and shock wave are the two impulsive sounds that occur due to supersonic gunfire. Depending on its position, a microphone array can measure a complete measurement data set, composed of two bearing angles and the TDOA between both sound waves, or an incomplete subset. In this paper a framework is created to fuse all measurements, whether complete or incomplete. For this problem, a shooter state estimator is proposed and the associated Cramér-Rao bound is derived. The estimation results are studied in Monte Carlo simulations and evaluated in comparison with the Cramér-Rao bound.
机译:本文针对射手定位的目的,对多个传感器的声学测量结果进行数据融合。枪口爆炸和冲击波是由于超音速炮火而产生的两种脉冲声音。取决于其位置,传声器阵列可以测量一个完整的测量数据集,该数据集由两个方位角和两个声波之间的TDOA或一个不完整的子集组成。在本文中,创建了一个框架来融合所有测量,无论是完整的还是不完整的。针对此问题,提出了射手状态估计器,并推导了相关的Cramér-Rao界。在蒙特卡洛模拟中研究了估计结果,并与Cramér-Rao界线进行了比较。

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