基于二维低复杂度自适应处理的高清声纳成像

IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jiahao Fan;Xionghou Liu;Xin Yao;Yixin Yang
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引用次数: 0

摘要

前视声呐(FLS)采用匹配滤波(MF)和传统波束形成(CBF)对回波进行处理,得到二维图像。成像结果受低分辨率和高副瓣电平(SLLs)的影响,导致低清晰度。为了解决这一问题,我们提出了一种二维低复杂度自适应(LCA)声纳成像方法来实现高清晰度图像。在方位维度,我们采用了一组预先设计的切比雪夫和凯撒窗口,结合这些窗口的左右方向变化,来执行角度LCA波束形成。在距离维度上,我们使用带Chebyshev窗和Kaiser窗的加权MF来提高距离分辨率,降低距离sll。该方法在最小功率无失真响应约束下,从一组预先设计好的窗口中自适应地选择最优窗口。这种方法可以看作是二维自适应处理的一种离散形式,在保持鲁棒性和低复杂性的同时,提供了比传统方法更好的成像质量。通过仿真研究来评估所提出方法的性能。结果表明,该方法在半功率波束宽度(HPBW)、峰值旁瓣电平比(PSLR)和平均旁瓣电平(ASL)等关键指标上优于现有的声纳成像方法。此外,该方法在小阵列流形误差以及低信噪比(SNR)和低信混响比(SRR)环境下具有鲁棒性。基于峰值信噪比(PSNR)和结构相似指数测度(SSIM)的定量图像质量评价进一步证实了该方法的优越性。这些改进表明,增强的成像性能可以有利于水下目标的检测和分类任务。此外,在湖泊环境中进行的实际数据实验验证了该方法在生成清晰度和细节增强的高清声纳图像方面的实用性。这些发现突出了该方法在高清声纳成像中的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Definition Sonar Imaging Using 2-D Low-Complexity Adaptive Processing
Forward-looking sonar (FLS) uses matched filtering (MF) and conventional beamforming (CBF) to process the echo and get a 2-D image. The imaging results suffer from low resolution and high sidelobe levels (SLLs), leading to low definition. To solve this problem, we present a 2-D low-complexity adaptive (LCA) sonar imaging method to achieve high-definition images. In the azimuth dimension, we employ a set of predesigned Chebyshev and Kaiser windows, combined with left- and right-steered variations of these windows, to perform angular LCA beamforming. In the range dimension, we use weighted MF with Chebyshev and Kaiser windows to improve the range resolution and reduce range SLLs. In both azimuth and range dimensions, the proposed method adaptively selects the optimal windows from a set of predesigned ones under the constraint of minimum power distortionless response. This approach can be viewed as a discrete form of 2-D adaptive processing, offering improved imaging quality over conventional methods while maintaining robustness and low complexity. Simulation studies are conducted to evaluate the performance of the proposed method. Results show that it outperforms existing sonar imaging methods in key metrics such as half-power beamwidth (HPBW), peak sidelobe level ratio (PSLR), and average sidelobe level (ASL). In addition, the method demonstrates robustness under small array manifold errors, as well as in low signal-to-noise ratio (SNR) and low signal-to-reverberation ratio (SRR) environments. Quantitative image quality assessments based on peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) further confirm the superiority of the proposed method. These improvements suggest that the enhanced imaging performance can be beneficial for underwater target detection and classification tasks. Furthermore, real-data experiments conducted in a lake environment confirm the practical effectiveness of the method in generating high-definition sonar images with enhanced clarity and detail. These findings highlight the practical value of the proposed method in high-definition sonar imaging.
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来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
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