A Motion Compensation Method for Synthetic Aperture Sonar Based on Segment Displaced Phases Center Algorithm and Errors Fitting

Jiang, Zelin; Liu, Wei; Li, Baoli; Liu, Jiyuan; Zhang, Chunhua

doi:10.3724/sp.j.1146.2012.01096

Cited by 5 publications

(3 citation statements)

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“…In the fine compensation stage, motion compensation methods based on sonar echo data are generally used. By conducting time-frequency analysis and phase matching on sonar echo data, corresponding motion compensation is performed [8][9]. This method has high compensation accuracy and does not require additional sensors, but it requires high processing requirements for sonar echo data, often requiring data conversion processing, and can only compensate for phase errors in specific directions [10].…”

Section: Introductionmentioning

confidence: 99%

Research on Sonar Motion Compensation Method Based on Acoustic Calibration System

Tang,

Liang,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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The influence of sonar motion error restricts the improvement of sonar imaging resolution. High-precision sonar motion compensation is an important guarantee for high-quality imaging. In this paper, a sonar motion compensation method based on acoustic calibration system is proposed, and the imaging results are compared with those based on the traditional combined inertial guidance measurement method. Experimental results show that the sonar motion compensation method based on acoustic calibration system plays a crucial role in imaging, which proves that acoustic calibration method is an effective means to improve the resolution of sonar imaging.

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Section: Introductionmentioning

confidence: 99%

Research on Sonar Motion Compensation Method Based on Acoustic Calibration System

Tang,

Liang,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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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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“…One is based on the echo data collected by a sonar array. It can be subdivided into micronavigation techniques using the displaced phase-center antenna [19][20][21][22][23] and techniques based on displaced ping imaging autofocus [24]. These methods involve analyzing and calculating the motion errors such as sway and yaw from the echo data and improving the image quality by compensating for these errors.…”

Section: Introductionmentioning

confidence: 99%

Azimuth-Invariant Motion Compensation and Imaging Chirp Scaling Algorithm for Multiple-Receiver Synthetic Aperture Sonar

et al. 2022

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To improve the imaging quality of conventional imaging algorithms without motion compensation (MOCO) and the efficiency of point-by-point MOCO algorithms for multiple-receiver synthetic aperture sonar (SAS) with azimuth-invariant six-degree of freedom (DOF) motion errors, an azimuth-invariant MOCO and imaging chirp scalin g (C S) algorithm is p resented in this paper. Taylor series approximation is used to process the range history in double square root form, while considering the fourthorder and inner terms with respect to the azimuth time. Using the method of series reversion and Fourie r transform (FT) properties, the analytical two-dimensional frequency spectrum of the point target response of each receiver is derived. On this basis, the azimuth-invariant MOCO and imaging CS algorithm is proposed for six-DOF motion error compensation and multiple-receiver SAS imaging. Because it considers the azimuth-invariant six-DOF motion errors, the proposed algorithm has better imaging quality than conventional imaging algo rithms without MOCO. Addit ionally, it has a significantly higher efficiency than point-by-point MOCO algorithms because the CS algo rithm is a fast FT-based a lgorithm and does not require interpolation processing. The imaging simulation and experimental resu lts verified the effectiveness and efficiency of the proposed algorithm.

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A Motion Compensation Method for Synthetic Aperture Sonar Based on Segment Displaced Phases Center Algorithm and Errors Fitting

Cited by 5 publications

References 0 publications

Research on Sonar Motion Compensation Method Based on Acoustic Calibration System

Research on Sonar Motion Compensation Method Based on Acoustic Calibration System

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

Azimuth-Invariant Motion Compensation and Imaging Chirp Scaling Algorithm for Multiple-Receiver Synthetic Aperture Sonar

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