A Novel Motion Compensation Approach for SAS

Caporale, Salvatore; Pétillot, Yvan

doi:10.1109/sspd.2016.7590585

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The carrier should move as a uniform rectilinear motion in theory, but an ideal trajectory cannot always be maintained that the motion error must be estimated and compensated. The MBSAS can be equipped by surface vessel or AUV that the high accuracy motion sensors (USBL, DVL, and compass) or motion estimation algorithms based on the echo (DPC and PGA) are employed to calculate the position of each element, considering different application scenarios [20]. The carrier has six dimensional motion parameters, which can be separated by position (sway, surge, and heave) and motion (yaw, roll, and pitch), as shown in Figure 6b.…”

Section: Target With Shadow Simulation Approachmentioning

confidence: 99%

Obtaining 3D High-Resolution Underwater Acoustic Images by Synthesizing Virtual Aperture on the 2D Transducer Array of Multibeam Echo Sounder

Wei

Zhou

et al. 2019

Remote Sensing

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In recent decades, imaging sonar has been the most widely employed remote sensing instruments in the field of underwater detection. The multibeam echo sounder (MBES) plays an important role in obtaining high-accuracy seabed topography. However, the resolution of the MBES substantially decreases with the increasing distance. Synthetic aperture sonar (SAS) achieves constant resolution on the along-track, improving the fineness of the image. However, conventional side-scan SAS usually only achieves 2D images, and gaps always exist. In this modeling and experimental research paper, we propose a novel underwater acoustic imaging scheme to improve the imaging performance of MBES, based on the complementarity of MBES and SAS systems. We design a 2D transducer array to increase the detection efficiency and obtain spatial gain. Moreover, the processing scheme is analyzed to design the working parameters in actual engineering applications. We exploit a target echo simulation approach to establish the research basics of the imaging algorithms, which also reflects the shapes and shadows of targets to match actual situations as realistically as possible. The proposed imaging algorithm synthesizes a virtual aperture receiving array on the along-track and reserves the multi-element manifold on the across-track. This helps to improve the imaging quality of the MBES and achieves high-resolution 3D detection with no gaps. Simulation and tank experimental results demonstrate that the proposed scheme can significantly improve the detection ability of the MBES, especially for small 3D target detection, thus making it suitable for 3D high-resolution underwater detection applications.

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Section: Target With Shadow Simulation Approachmentioning

confidence: 99%

Obtaining 3D High-Resolution Underwater Acoustic Images by Synthesizing Virtual Aperture on the 2D Transducer Array of Multibeam Echo Sounder

Wei

Zhou

et al. 2019

Remote Sensing

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“…The synthetic aperture sonar [1][2][3][4][5][6] (SAS) deviates from its nominal trajectory, and the turbulence of the propagation medium will disturb the phase of the detected echoes, resulting in poor imaging quality, so motion compensation (MOCO) is necessary. There are two main groups of MOCO methods: One is the echo-based MOCO method [7][8][9][10][11], which is called the displaced phase center antenna (DPCA) algorithm. The DPCA algorithm is computationally expensive, and the estimation error accumulates with the number of pulses [12].…”

Section: Introductionmentioning

confidence: 99%

A Subaperture Motion Compensation Algorithm for Wide-Beam, Multiple-Receiver SAS Systems

Zhang,

Cheng,

Tang

et al. 2023

JMSE

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Uncompensated motion errors can seriously affect the imaging quality of synthetic aperture sonars (SASs). In the existing line-by-line motion compensation (MOCO) algorithms for wide-beam multiple-receiver SAS systems, the approximate form of the range history error usually introduces a significant approximation error, and the residual two-dimensional (2D) range cell migration (RCM) caused by aperture-dependent motion errors is not corrected, resulting in the severe defocus of the image. In this paper, in the presence of translational and rotational errors in a multiple-receiver SAS system, the exact range history error concerning the five-degree-of-freedom (DOF) motion errors of the sway, heave, yaw, pitch, and roll under the non-stop-hop-stop case is derived. Based on this, a two-stage subaperture MOCO algorithm for wide-beam multiple-receiver SAS systems is proposed. We decompose the range history error into the beam-center term (BCT) and the residual spatial-variant term (RSVT) to compensate successively. In the first stage, the time delay and phase error caused by the BCT are compensated receiver-by-receiver through interpolation and phase multiplication in the azimuth-time domain. In the second stage, the data of a single pulse are regarded as a subaperture, and the RSVT is compensated in the subaperture range-Doppler (RD) domain. We divide the range into several blocks to correct RCM caused by the RSVT in the subaperture RD domain, and the phase error caused by the RSVT is compensated by phase multiplication. After compensation, the wide-beam RD algorithm is used for imaging. Simulated and real-data experiments verify the superiority and robustness of the proposed algorithm.

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“…Following the work in [11], we here exploit the superimposition of some phase centers as for DPCA. However, we assume that they can be arbitrarily interlaced rather than exactly superimposed.…”

Section: Introductionmentioning

confidence: 99%

A New Framework for Synthetic Aperture Sonar Micronavigation

Caporale,

Petillot

2017

Preprint

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Synthetic aperture imaging systems achieve constant azimuth resolution by coherently summating the observations acquired along the aperture path. At this aim, their locations have to be known with subwavelength accuracy. In underwater Synthetic Aperture Sonar (SAS), the nature of propagation and navigation in water makes the retrieval of this information challenging. Inertial sensors have to be employed in combination with signal processing techniques, which are usually referred to as micronavigation. In this paper we propose a novel micronavigation approach based on the minimization of an error function between two contiguous pings having some mutual information. This error is obtained by comparing the vector space intersections between the pings orthogonal projectors. The effectiveness and generality of the proposed approach is demonstrated by means of simulations and by means of an experiment performed in a controlled environment.

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A Novel Motion Compensation Approach for SAS

Cited by 4 publications

References 7 publications

Obtaining 3D High-Resolution Underwater Acoustic Images by Synthesizing Virtual Aperture on the 2D Transducer Array of Multibeam Echo Sounder

Obtaining 3D High-Resolution Underwater Acoustic Images by Synthesizing Virtual Aperture on the 2D Transducer Array of Multibeam Echo Sounder

A Subaperture Motion Compensation Algorithm for Wide-Beam, Multiple-Receiver SAS Systems

A New Framework for Synthetic Aperture Sonar Micronavigation

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