2018/09/22 by Daniel C. Brown, Brown, Daniel C., Shawn F. Johnson +3
Earth and Planetary Sciences · Engineering · #FOS: Electrical engineering #Geophysical Methods and Applications #Seismic Imaging and Inversion Techniques #Signal Processing (eess.SP) #Underwater Acoustics Research #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1809.08459
10 pages, 7 figures Revision: Fixed typo in author name
openalex publication_date 2018/09/22 · arxiv created 2018/10/04 · arxiv updated 2018/10/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The problem of detecting buried unexploded ordnance (UXO) is addressed with a sensor deployed from a shallow-draft surface vessel. This sonar system produces three dimensional synthetic aperture sonar (SAS) imagery of both surficial and buried UXO across a range of environments. The sensor's hardware design was based in part upon data created using a hybrid modeling approach that combined results from separate environmental scattering and target scattering models. This hybrid model produced synthetic sensor data where the sensor/environment/target space could be modified to explore the expected operating conditions. The simulated data were also used to adapt a set of existing signal processing algorithms for formation of three-dimensional acoustic imagery. Recently, the sonar system has been integrated to a test platform, and experiments have been conducted at a trial site in the Foster Joseph Sayers Reservoir near Howard, PA. This test site has been prepared with several buried man-made objects. Initial results show that fully buried targets can be detected.