Calibration of Multibeam Echo Sounder Transducer Array Based on Focused Beamforming

Li, Haisen; Wei, Bo; Jian-jun, Zhu; Li, Chao; Xing, Siyu

doi:10.1109/jsen.2018.2875198

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…The problem of waveform broadening can also be suppressed by using a wideband signal. Estimating target orientation using a new method (such as the multi-subarray detection method) can improve the orientation estimation accuracy of the outer signal (Li et al, 2018;Wei et al, 2019).…”

Section: Accuracymentioning

confidence: 99%

Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping

Peng

Zhang

et al. 2023

Front. Mar. Sci.

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Building a high-precision bathymetry digital elevation model is essential for navigation planning, marine and lake resource planning, port construction, and underwater archaeological projects. However, existing bathymetry methods have yet to be effectively and comparatively analyzed. This paper comprehensively reviews state-of-the-art bathymetry methods, including data acquisition techniques, model accuracy, and interpolation algorithms for underwater terrain mapping. First, We assess the merits and drawbacks of novel data acquisition devices, such as single-beam/multi-beam echo sounders and light detection and ranging systems. After that, we analyze the accuracy of the ETOPO1, GEBCO_2022 and SRTM15 to provide valuable insights into their performance. Furthermore, we evaluate ANUDEM, Inverse Distance Weighting, Kriging and Nearest Neighbor interpolation algorithms in different underwater terrains by comparing their applicability, reliability, and accuracy in various underwater environments. Finally, we discuss the development trends and challenges in underwater bathymetry technology and offer a forward-looking perspective on the future of this essential field.

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Section: Accuracymentioning

confidence: 99%

Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping

Peng

Zhang

et al. 2023

Front. Mar. Sci.

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show abstract

“…The estimation of errors in the collected data enables us to mitigate the adverse effects of noise on the data by using the least-squares method. Although the performance of the multi-beam system is constantly being improved, such as the newest multi-beam sonar, which automatically compensates for the errors to maintain the instrument resolution [6,7], the depth error constantly exists, which is mainly caused by the abnormal seabed detection algorithm. Some algorithms that try to eliminate outliers in real-time processing.…”

Section: Introductionmentioning

confidence: 99%

A quality factor of forecasting error for sounding data in MBES

Yuan

Zhou

et al. 2022

Meas. Sci. Technol.

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The multi-beam sounding system achieves ultra-wide coverage and high-resolution measurement. Its significantly increased data density has great advantages in accurately depicting the topography of the seabed. However, it requires processing large amount of data. A preprocessing method that performs in real time, automatically identifies the outliers in multi-beam bathymetry data, and provides corresponding bathymetry estimates, is able to provide a lot of effective information for the post-processing for improving the data processing efficiency and ensuring data quality. In this work, we propose quality factor of forecasting error (QE) for detecting the outliers and forecasting the depth in multi-beam bathymetry data. On the basis of the existing quality factor model for seabed detection method, and under the assumption of smooth seafloor terrain, we use the quality factor (QF) to select a suitable seabed detection method and eliminate the sounding points which correspond to poor echo characteristics. The uncertainty inferred by the quality factor is used as the initial parameter of Kalman filter estimation and the depth value prediction model is formulated. The sounding sequence is sorted by the median value by using the sliding window method. After second fitting and Kalman filtering, the depth of each point is predicted. The quality factor model based on forecasting errors is adopted to simplify and unify the outlier detection standards. The selection rules of window length and detection threshold are deeply studied on the basis of simulations performed in this work. For appropriate parameters, the proposed algorithm shows a good detection capability for impulse anomalies, cluster anomalies, and seabed topography undulations. In addition, the proposed method gives smooth depth prediction values. The simulation results and analysis show that the proposed algorithm further detects the outliers in depth sequence on the basis of QF and forecasts the sounding point in real time. The QE threshold based on the relative depth is easy to select and is suitable for different sounding system. It provides effective outlier detection information for post-processing.

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“…The synthetic aperture sonars, which employ the sonar elements to move along the ideal trajectory, form a large aperture equivalent array to improve the transverse resolution of sonar. However, there may occur a motion error, and then the positions of elements are not fixed, that is, the equivalent array manifold is time‐varying [8, 9]. These factors have a moderate and gradual influence on the sparse representation base.…”

Section: Introductionmentioning

confidence: 99%

Efficient gradient‐based dictionary optimisation method for time‐varying array incorporating with structure characteristic

Shen

Zhou

et al. 2019

IET Radar, Sonar & Navigation

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Calibration of Multibeam Echo Sounder Transducer Array Based on Focused Beamforming

Cited by 8 publications

References 21 publications

Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping

Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping

A quality factor of forecasting error for sounding data in MBES

Efficient gradient‐based dictionary optimisation method for time‐varying array incorporating with structure characteristic

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