Deconvolved Conventional Beamforming for a Horizontal Line Array

Yang, T. C.

doi:10.1109/joe.2017.2680818

Cited by 140 publications

(69 citation statements)

References 17 publications

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“…It is important to note that, limited by the beam width, the imaging resolution on the across-track inevitably decreases with increasing distance. Therefore, some high-resolution beamforming algorithms used on the across-track, such as minimum variance distortionless response (MVDR) and deconvolved beamforming, should be researched further but are not the focus of this paper [26,27].…”

Section: Simulationmentioning

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: Simulationmentioning

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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“…(c) Estimation space: the parameter information of the target signal source obtained via the sonar array is extracted by the DOA estimation algorithm. The conventional beamforming (CBF) method is recognized as one of the earliest and classical DOA estimation algorithms for sensor arrays, which is also commonly known as the Bartlett beamforming method [4][5][6][7]. It is a simple extension of space domain in the traditional time domain Fourier spectrum estimation technique.…”

Section: Introductionmentioning

confidence: 99%

Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

Yin

Wang

et al. 2019

Sensors

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Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the proposed approach can provide a higher reliability compared with the conventional ones, and is suitable for the constraints of real-time tracking.

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“…The CBF algorithm is the earliest DOA estimation method based on an array and can be traced back to World War II [2,4]. The algorithm is a natural extension of classical Fourier-based spectral analysis on sensor array data.…”

Section: Introductionmentioning

confidence: 99%

Application of Bee Evolutionary Genetic Algorithm to Maximum Likelihood Direction‐of‐Arrival Estimation

Fan

Lin-bin

Shi

et al. 2019

Mathematical Problems in Engineering

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The maximum likelihood (ML) method achieves an excellent performance for DOA estimation. However, its computational complexity is too high for a multidimensional nonlinear solution search. To address this issue, an improved bee evolutionary genetic algorithm (IBEGA) is applied to maximize the likelihood function for DOA estimation. First, an opposition-based reinforcement learning method is utilized to achieve a better initial population for the BEGA. Second, an improved arithmetic crossover operator is proposed to improve the global searching performance. The experimental results show that the proposed algorithm can reduce the computational complexity of ML DOA estimation significantly without sacrificing the estimation accuracy.

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Deconvolved Conventional Beamforming for a Horizontal Line Array

Cited by 140 publications

References 17 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

Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

Application of Bee Evolutionary Genetic Algorithm to Maximum Likelihood Direction‐of‐Arrival Estimation

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