Marine multibeam sonar device
US-9784826-B2 · Oct 10, 2017 · US
US8937849B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-8937849-B1 |
| Application number | US-201213568677-A |
| Country | US |
| Kind code | B1 |
| Filing date | Aug 7, 2012 |
| Priority date | Aug 7, 2012 |
| Publication date | Jan 20, 2015 |
| Grant date | Jan 20, 2015 |
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A method of focusing fully-coherent circular synthetic aperture sonar (CSAS) imagery is provided. A k-space representation of the CSAS image is generated using the two dimensional Fast-Fourier Transform (FFT). Sub-aperture images are generated by windowing the k-space representation and applying the two dimensional inverse FFT to the windowed spectrum. All adjacent complex sub-aperture images are correlated, the correlation peaks are detected and the relative shifts in X and Y as a function of look-angle are recorded. The relative shifts between adjacent sub-apertures are integrated and the means are subtracted to find the absolute shift as a function of look-angle. A motion-solution is calculated by exploiting the relationship between apparent scene shift and actual vehicle sway. The motion estimation is used to generate a phase-correction matrix that is multiplied by the k-space representation of the fully-coherent image.
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What is claimed is: 1. A method of focusing a circular synthetic aperture sonar image of a scene taken from a platform, said method comprising the steps of: generating a k-space representation of said sonar image; generating sub-aperture images based on windowing said k-space representation over chosen look-angles; correlating adjacent ones of said sub-aperture images; detecting correlation peaks based on said correlating; obtaining absolute shifts of said scene as a function of said look-angles, said absolute shifts based on said correlation peaks; calculating a sway motion estimation of said platform based on said absolute shifts; generating a phase-correction matrix based on said sway motion estimation; and applying said phase-correction matrix to said sonar image to recover a focused image of said scene. 2. The method of claim 1 , further comprising iteratively returning to generating sub-aperture images utilizing a k-space representation of said focused image. 3. The method of claim 2 , wherein said step of generating sub-aperture images further comprises applying an inverse Fast Fourier Transform to each windowed k-space representation. 4. The method of claim 2 , comprising first generating said sonar image using a phase-preserving method applied to raw echo data of said scene, said raw echo data having uncompensated motion errors. 5. The method of claim 4 , wherein said phase-preserving method comprises at least one of projection-slice imaging and time-delay and sum imaging. 6. The method of claim 2 , wherein said step of detecting correlation peaks further comprises interpolating and filtering correlated sub-aperture images. 7. The method of claim 6 , wherein said step of obtaining absolute shifts comprises: expressing said correlation peaks as a function of said look angles to obtain relative shifts; subtracting a mean from said relative shifts; and accumulating said relative shifts with said mean subtracted therefrom. 8. The method of claim 2 , wherein said step of calculating a sway motion estimation comprises: calculating axial scene shifts based on said absolute shifts; and integrating and scaling said axial scene shifts to obtain a scalar function A(θ), wherein platform sway is proportional to said scalar function and wherein θ corresponds to an angle in spatial coordinates X and Y of said scene. 9. The method of claim 8 , wherein said scalar function comprises an expression: A ( θ n ) = C [ ∑ n - 1 N X n 2 + Y n 2 * cos ( θ n + arctan ( Y n X n ) ) N + 2 ∑ l n X n 2 + Y n 2 * sin ( θ n + arctan ( Y n X n ) )
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