Muzzle flash localization for the dismounted soldier

Will Kennedy Scott

doi:10.1117/12.2180246

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21 May 2015 Muzzle flash localization for the dismounted soldier

Will Kennedy Scott

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Proceedings Volume 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV; 947415 (2015) https://doi.org/10.1117/12.2180246
Event: SPIE Defense + Security, 2015, Baltimore, Maryland, United States

Abstract

The ability to accurately and rapidly know the precise location of enemy fire would be a substantial capability enhancement to the dismounted soldier. Acoustic gun-shot detections systems can provide an approximate bearing but it is desired to precisely know the location (direction and range) of enemy fire; for example to know from ‘which window’ the fire is coming from. Funded by the UK MOD (via Roke Manor Research) QinetiQ is developing an imaging solution built around an InGaAs camera. This paper presents work that QinetiQ has undertaken on the Muzzle Flash Locator system. Key technical challenges that have been overcome are explained and discussed in this paper. They include; the design of the optical sensor and processing hardware to meet low size, weight and power requirements; the algorithm approach required to maintain sensitivity whilst rejecting false alarms from sources such as close passing insects and sun glint from scene objects; and operation on the move. This work shows that such a sensor can provide sufficient sensitivity to detect muzzle flash events to militarily significant ranges and that such a system can be combined with an acoustic gunshot detection system to minimize the false alarm rate. The muzzle flash sensor developed in this work operates in real-time and has a field of view of approximately 29° (horizontal) by 12° (vertical) with a pixel resolution of 0.13°. The work has demonstrated that extension to a sensor with realistic angular rotation rate is feasible.

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Will Kennedy Scott "Muzzle flash localization for the dismounted soldier", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947415 (21 May 2015); https://doi.org/10.1117/12.2180246

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