![]() |
John Mower Research Scientist/Engineer - Senior mowerj@apl.washington.edu Phone 206-616-4787 |
Education
B.S. Electrical Engineering, University of Washington, 2010
M.S. Electrical Engineering, University of Washington, 2012
Publications |
2000-present and while at APL-UW |
![]() |
An extensible software defined sonar for arbitrary phased array dimensionality Mower, J.M., J. Maier, T.M. Marston, C. Timme, S. Bachelor, S. Kahle, and D. Deitz, "An extensible software defined sonar for arbitrary phased array dimensionality," Proc., OCEANS 2025, 16-19 June, Brest, France, doi:10.1109/OCEANS58557.2025.11104514 (IEEE, 2025). |
More Info |
16 Jun 2025 ![]() |
![]() |
|||||
The University of Washington Applied Physics Laboratory has been developing next-generation software-defined sonar systems for a high level of modularity and adaptability. At the heart of this is mid- to high- frequency 64-channel unit that can be phase- and time-disciplined and combined to any number of channels. By combining modern advances in software-defined radio, ultrasound electronics miniaturization and cost reduction, modular timing, novel transducer construction, flexible interface, and real-time signal processing, we demonstrate an extremely flexible and capable sonar. At this time, we have successfully built and demonstrated 64, 128, 192, 256, and 640 element acoustic uniform linear phased arrays operating at greater than octave bandwidth. In addition, a modular 2D array is currently in development. These systems have been designed to support DC - 7 MHz acoustics; the base electronics can directly be integrated with an unmatched transducer, typically above 500 kHz where on-board drive voltage is suitable for piezoceramic transducers operating at high frequency. SWaP-C is significantly improved by the utilization of recent integrated circuits. For lower frequencies, an add-on higher-voltage driver and Transmit/Receive (TR) card is placed between the software defined sonar module and transducer. |
![]() |
Neural network for geoacoustic inversion of sub-bottom profiler data Diamond, J., D. Dall'Osto, and J. Mower, "Neural network for geoacoustic inversion of sub-bottom profiler data," Proc. Mtgs. Acoust., 55, doi:10.1121/2.0002019 |
More Info |
28 Mar 2025 ![]() |
![]() |
|||||
Sub-bottom profilers are utilized to extract features pertaining to the sub seafloor environment sediment stratification. Acquisition and analysis of sub-bottom profiles can provide insight into the sediment composition and acoustical properties. Typical analysis of profiles involves computationally expensive inversions such as model-based or Bayesian techniques which require large computational costs. Here, a neural network is developed to perform a geoacoustic inversion on simulated sub-bottom profiler data. The network is used to derive attenuation and acoustical impedance measurements corresponding to the layered media. Geoacoustic properties of the layered sediments are compared to values determined through a direct inversion of reflection coefficient, testing how well these techniques recover the ground truth values. The network, trained on simulated data, is applied to real sub bottom profiler data acquired over a well-studied area called the New England Mud Patch, roughly 80 km south of Nantucket. The simulated data-trained network is compared to a network trained on experimental data acquired by the R/V Tioga over the same region. |
![]() |
ISAR imaging of near-shore maritime vessels using a low-cost X-band radar Pham, N., D. Wesen, J. Mower, and M.S. Reynolds, "ISAR imaging of near-shore maritime vessels using a low-cost X-band radar," in Proc., IEEE SENSORS, 20-23 October, Kobe, Japan, doi:10.1109/SENSORS60989.2024.10785210 (IEEE, 2024). |
More Info |
17 Dec 2024 ![]() |
![]() |
|||||
Inverse Synthetic Aperture Radar (ISAR) is a technique for creating images from radar data. ISAR is similar to Synthetic Aperture Radar (SAR) in that it employs relative motion between a radar and targets or scenes to form large synthetic apertures leading to fine azimuthal resolution. SAR and ISAR differ in that ISAR uses a stationary radar to image moving targets, while SAR uses radar motion to image (typically) stationary scenes. The ISAR system was designed with water traffic in mind and can be placed onshore to act as a low-cost monitoring system. The benefit of this system over an optical system is that it works in situations with poor visibility, such in fog and darkness. |