Renewable energy for sustainable ocean sensors and platforms
In the future, networks of unmanned and unattended sensor systems will replace many of these manned assets and will become pervasive and highly connected in many maritime areas. Unmanned mobile survei...
Mortar and artillery variants classification by exploiting characteristics of the acoustic signature
Feature extraction methods based on the discrete wavelet transform and multiresolution analysis facilitate the development of a robust classification algorithm that reliably discriminates mortar and a...
Seismic augmentation of acoustic monitoring of mortar fire
Proc. SPIE, Vol. 6736, 67360I (2007);
doi:10.1117/12.738131
Online Publication Date: 5 October 2007
Conference Date: Tuesday 18 September 2007
Conference Location: Florence, Italy
Conference Title: Unmanned/Unattended Sensors and Sensor Networks IV
Conference Chairs: Edward M. Carapezza
TheUS Army Corps of Engineers Research and Development Center participatedin a joint ARL-NATO TG-53 field experiment and data collectat Yuma Proving Ground, AZ in early November 2005. Seismicand acoustic signatures from both muzzle blasts and impacts ofsmall arms fire and artillery were recorded using 7 seismicarrays and 3 acoustic arrays. Arrays comprised of 12 seismicand 12 acoustic sensors each were located from 700 mto 18 km from gun positions. Preliminary analysis of signaturesattributed to 60mm, 81mm, 120 mm mortars recorded at aseismic-acoustic array 1.1 km from gun position are presented. Seismicand acoustic array f-k analysis is performed to detect andcharacterize the source signature. Horizontal seismic data are analyzed todetermine efficacy of a seismic discriminant for mortar and artillerysources. Rotation of North and East seismic components to radialand transverse components relative to the source-receiver path provide maximumsurface wave amplitude on the transverse component. Angles of rotationagree well with f-k analysis of both seismic and acousticsignals. The spectral energy of the rotated transverse surface waveis observable on the all caliber of mortars at adistance of 1.1 km and is a reliable source discriminantfor mortar sources at this distance. In a step towardsautomation, travel time stencils using local seismic and acoustic velocitiesare applied to seismic data for analysis and determination ofsource characteristics.
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