Interpolation Kernels for Synthetic Aperture Sonar Along-Track Motion Estimation

Brown, Daniel C.; Gerg, Isaac D.; Blanford, Thomas E.

doi:10.1109/joe.2019.2921510

Cited by 20 publications

(24 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the along-track baseline, the spatial coherence could also have been obtained from the autocorrelation of the combined transmitter-receiver aperture function. If either transmitter or receiver is small, the shape should approximate a triangle, and with transmitters and receivers of equal length, the shape should approach a Gaussian [29], [31]. This is in line with our results in Fig.…”

Section: B Numerical Evaluationsupporting

confidence: 91%

See 1 more Smart Citation

Spatial Coherence of Speckle for Repeat-Pass Synthetic Aperture Sonar Micronavigation

Synnes

Hansen

Sæbø

2021

IEEE J. Oceanic Eng.

View full text Add to dashboard Cite

Accurate positioning of autonomous underwater vehicles is a major challenge. The long-term drift is problematic if global position updates are not available, and for applications such as repeat-pass interferometry and coherent change detection, millimeter accuracy is needed. Repeat-pass synthetic aperture sonar (SAS) micronavigation is one potential technique for countering both challenges. While single-pass SAS micronavigation enabled successful coherent processing within one track, the potential is that repeat-pass SAS micronavigation can support coherent processing between passes. Both techniques are based on recognizing the speckle pattern in the seafloor return, but repeat-pass SAS micronavigation has additional challenges with the larger temporal and spatial separations between the observations. In this study, we investigate the spatial correlation of speckle as observed from SAS systems. We divide the different contributions to spatial decorrelation into three groups: 1) speckle decorrelation; 2) footprint mismatch; and 3) stretching. We examine each contribution separately and develop simplified formulas for their decorrelation baselines. When correlating synthetic aperture images, decorrelation from stretching dominates. When correlating single-element data recorded at low grazing angles common to SAS, speckle decorrelation dominates. We validate our findings on experimental data, and by combining elements into larger effective elements, we demonstrate increasing the across-track baseline for repeatpass SAS micronavigation updates from less than 1 to 10 m.

show abstract

Section: B Numerical Evaluationsupporting

confidence: 91%

“…Accurate knowledge of its functional form is crucial for acquiring navigation estimates of high accuracy and low bias [17], [22], [23], [30,Ch. 5], [31].…”

Section: B Spatial Coherencementioning

confidence: 99%

Spatial Coherence of Speckle for Repeat-Pass Synthetic Aperture Sonar Micronavigation

Synnes

Hansen

Sæbø

2021

IEEE J. Oceanic Eng.

View full text Add to dashboard Cite

show abstract

“…Methods that exploit the spatial correlation of overlapping measurements between consecutive pings for along-track micronavigation propose maximum likelihood estimators [261], analytical and numerical coherence models [262] and smoothing interpolation kernels [263,264] to improve the accuracy of the along-track, ping-to-ping translation estimate. Similarly, time delay estimation between signals recorded on overlapping along-track positions between pings provides an across-track micronavigation estimate.…”

Section: Micronavigationmentioning

confidence: 99%

An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

Vouras¹,

Mishra²,

Artusio‐Glimpse³

et al. 2022

Preprint

View full text Add to dashboard Cite

Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of a single sensor alone, are leading to novel research avenues in several signal processing applications. The SAs may either use a mechanical positioner to move an antenna through space or deploy a distributed network of sensors. With the advent of new hardware technologies, the SAs tend to be denser nowadays. The recent opening of higher frequency bands has led to wide SA bandwidths. In general, new techniques and setups are required to harness the potential of wide SAs in space and bandwidth. Herein, we provide a brief overview of emerging signal processing trends in such spatially and spectrally wideband SA systems. This guide is intended to aid newcomers in navigating the most critical issues in SA analysis and further supports the development of new theories in the field. In particular, we cover the theoretical framework and practical underpinnings of wideband SA radar, channel sounding, sonar, radiometry, and optical applications. Apart from the classical SA applications, we also discuss the quantum electric-field-sensing probes in SAs that are currently undergoing active research but remain at nascent stages of development.

show abstract

“…Four degrees of freedom (surge, roll, pitch, and yaw) remain to be addressed. For surge, ASASIN can select from two sources: Doppler velocity logger (DVL) measurement or the along track estimation (ATE) algorithm of [9]. For vehicle attitude (roll, pitch, and yaw), ASASIN uses the measurements provided by an on-board, high-fidelity inertial navigation system (INS).…”

Section: Motion Estimation Of Platform Heave Sway and Surgementioning

confidence: 99%

GPU Acceleration for Synthetic Aperture Sonar Image Reconstruction

Gerg¹,

Brown²,

Wagner³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Synthetic aperture sonar (SAS) image reconstruction, or beamforming as it is often referred to within the SAS community, comprises a class of computationally intensive algorithms for creating coherent high-resolution imagery from successive spatially varying sonar pings. Image reconstruction is usually performed topside because of the large compute burden necessitated by the procedure. Historically, image reconstruction required significant assumptions in order to produce real-time imagery within an unmanned underwater vehicle's (UUV's) size, weight, and power (SWaP) constraints. However, these assumptions result in reduced image quality. In this work, we describe ASASIN, the Advanced Synthetic Aperture Sonar Imagining eNgine. ASASIN is a time domain backprojection image reconstruction suite utilizing graphics processing units (GPUs) allowing real-time operation on UUVs without sacrificing image quality. We describe several speedups employed in ASASIN allowing us to achieve this objective. Furthermore, ASASIN's signal processing chain is capable of producing 2D and 3D SAS imagery as we will demonstrate. Finally, we measure ASASIN's performance on a variety of GPUs and create a model capable of predicting performance. We demonstrate our model's usefulness in predicting run-time performance on desktop and embedded GPU hardware.

show abstract

Interpolation Kernels for Synthetic Aperture Sonar Along-Track Motion Estimation

Cited by 20 publications

References 22 publications

Spatial Coherence of Speckle for Repeat-Pass Synthetic Aperture Sonar Micronavigation

Spatial Coherence of Speckle for Repeat-Pass Synthetic Aperture Sonar Micronavigation

An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

GPU Acceleration for Synthetic Aperture Sonar Image Reconstruction

Contact Info

Product

Resources

About