The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 15, 2026
Filed:
Apr. 26, 2024
Arizona Board of Regents on Behalf of Arizona State University, Scottsdale, AZ (US);
Trustees of Dartmouth College, Hanover, NH (US);
The Penn State Research Foundation, University Park, PA (US);
Albert Reed, Tempe, AZ (US);
Juhyeon Kim, Hanover, NH (US);
Thomas Blanford, State College, PA (US);
Adithya Pediredla, Hanover, NH (US);
Daniel Brown, State College, NH (US);
Suren Jayasuriya, Chandler, AZ (US);
Arizona Board of Regents on Behalf of Arizona State University, Scottsdale, AZ (US);
Trustees of Dartmouth College, Hanover, NH (US);
The Penn State Research Foundation, University Park, PA (US);
Abstract
A system may be configured for implementing neural volumetric reconstruction for coherent synthetic aperture sonar. Exemplary systems include means for measuring underwater objects using high-resolution Synthetic aperture sonar (SAS) by coherently combining data from a moving array to form high-resolution imagery. Such a system may receive a waveform from the measurements of the underwater object and optimize the waveform for deconvolving via an iterative deconvolution optimization process applying an adaptable approach to waveform compression where performance is tuned via sparsity and smoothness parameters. Such a system may deconvolve the wave form using pulse deconvolution and use the deconvolved waveforms in an analysis-by-synthesis optimization operation with an implicit neural representation to yield higher resolution and superior volumetric reconstruction scene of the underwater object.