Seismic augmentation of acoustic monitoring of mortar fire

Thomas S. Anderson

doi:10.1117/12.738131

5 October 2007 Seismic augmentation of acoustic monitoring of mortar fire

Thomas S. Anderson

Proceedings Volume 6736, Unmanned/Unattended Sensors and Sensor Networks IV; 67360I (2007) https://doi.org/10.1117/12.738131
Event: Optics/Photonics in Security and Defence, 2007, Florence, Italy

Abstract

The US Army Corps of Engineers Research and Development Center participated in a joint ARL-NATO TG-53 field experiment and data collect at Yuma Proving Ground, AZ in early November 2005. Seismic and acoustic signatures from both muzzle blasts and impacts of small arms fire and artillery were recorded using 7 seismic arrays and 3 acoustic arrays. Arrays comprised of 12 seismic and 12 acoustic sensors each were located from 700 m to 18 km from gun positions. Preliminary analysis of signatures attributed to 60mm, 81mm, 120 mm mortars recorded at a seismic-acoustic array 1.1 km from gun position are presented. Seismic and acoustic array f-k analysis is performed to detect and characterize the source signature. Horizontal seismic data are analyzed to determine efficacy of a seismic discriminant for mortar and artillery sources. Rotation of North and East seismic components to radial and transverse components relative to the source-receiver path provide maximum surface wave amplitude on the transverse component. Angles of rotation agree well with f-k analysis of both seismic and acoustic signals. The spectral energy of the rotated transverse surface wave is observable on the all caliber of mortars at a distance of 1.1 km and is a reliable source discriminant for mortar sources at this distance. In a step towards automation, travel time stencils using local seismic and acoustic velocities are applied to seismic data for analysis and determination of source characteristics.

Citation Download Citation

Thomas S. Anderson "Seismic augmentation of acoustic monitoring of mortar fire", Proc. SPIE 6736, Unmanned/Unattended Sensors and Sensor Networks IV, 67360I (5 October 2007); https://doi.org/10.1117/12.738131

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