A Small-Sized Low-Cost and High-Resolution Two-Dimensional Side-Scan Sonar Imaging Method Using Sparse Transmit-Receive Arrays
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摘要: 为克服已有二维侧扫声呐成像方法在提高角度分辨率时面临的基阵尺寸过大、阵元成本过高等问题, 提出一种小尺寸低成本高分辨二维侧扫声呐成像方法。该方法以大间距布阵的均匀直线阵为稀疏发射阵, 以多个满采样均匀直线阵为子阵组成稀疏接收阵, 利用乘积定理形成水平向满采样大孔径虚拟阵列。该虚拟阵列的阵元数为发射阵元数、接收子阵数与子阵阵元数之积, 孔径为发射阵列和接收阵列孔径之和, 从而以更小尺寸、更少阵元获得大孔径等效阵列。以所设计的阵形为基础, 文中方法采用和传统二维侧扫声呐成像方法相同的波形和法向单波束侧扫成像模式。数值仿真结果表明: 与传统方法(240发/240收, 信号中心频率为450 kHz)相比, 文中方法阵列尺寸由0.40 m缩减至0.33 m, 总阵元数由480减至40, 水平向-3 dB波束宽度由0.41°缩小至0.25°, 角度分辨率提升约40%。证明文中方法可使用更小阵列尺寸、更少阵元数获得更高成像分辨率。Abstract: To overcome the problems of excessively large array aperture and high element cost when improving angular resolution in existing two-dimensional side-scan sonar imaging methods, this paper proposes a small-size, low-cost, high-resolution two-dimensional side-scan sonar imaging method. The proposed method uses a uniformly spaced linear array with large inter-element spacing as a sparse transmitting array and multiple uniformly spaced linear arrays with full sampling as subarrays to form a sparse receiving array. By utilizing the product theorem, a horizontally fully-sampled large-aperture virtual array is formed. The number of elements in this virtual array equals the product of the number of transmitting elements, the number of receiving subarrays, and the number of elements per subarray, while the aperture is the sum of the transmitting array aperture and the receiving array aperture. Thus, a large-aperture equivalent array is achieved with smaller size and fewer elements. Based on the designed array configuration, the proposed method adopts the same waveform and normal-direction single-beam side-scan imaging mode as traditional two-dimensional side-scan sonar imaging methods. Numerical simulations demonstrate that compared with the traditional method (240 transmitting elements / 240 receiving elements, center frequency of 450 kHz), the proposed method reduces the array size from 0.40 m to 0.33 m, decreases the total number of elements from 480 to 40, narrows the horizontal -3 dB beamwidth from 0.41° to 0.25°, and improves the angular resolution by approximately 40%. The proposed method achieves higher imaging resolution with smaller array size and fewer elements.
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表 1 传统方法与文中方法阵列参数及成像性能对比
Table 1. Comparison of array parameters and imaging performance between the traditional method and the proposed method
方法 阵列
尺寸/m阵元数量 成像结果 发射阵
元数接收阵
元数−3 dB波
束宽度/(°)第一旁
瓣级/dB积分旁
瓣级/dB传统方法 0.40 240 240 0.41 -25.01 9.43 文中方法 0.33 20 2*10=20 0.25 -12.84 5.69 注: 积分旁瓣级为主瓣区域总能量与旁瓣区域总能量之比[19]。 表 2 不同目标成像结果SSIM对比
Table 2. Comparison of SSIM for imaging results of different targets
方法 球体 圆柱体 与航行方向平行 与航行方向夹角45° 传统方法 0.8654 0.8456 0.8293 文中方法 0.8976 0.8734 0. 8658 -
[1] Crawford A, Connors W. Performance evaluation of a 3-D sidescan sonar for mine countermeasures[C]//Conference on OCEANS MTS/IEEE Charleston. 2018: 1365-1370 [2] 桑恩方, 张小平, 苏龙滨. 三维成像声呐的设计与实现[J]. 哈尔滨工程大学学报. 2003, 24(3): 241-244Sang E F, Zhang X P, Su L B. Design of 3D imaging sonar[J]. Journal of Harbin Engineering University, 2003, 24(3): 241-244. [3] Tamsett D, Hogarth P. Sidescan sonar beam function and seabed backscatter functions from trace amplitude and vehicle roll data[J]. IEEE Journal of Oceanic Engineering, 2016, 41(1): 155-163. doi: 10.1109/JOE.2015.2390732 [4] Bird J S, Mullins G K. Bathymetric sidescan sonar bottom estimation accuracy: Tilt angles and waveforms[J]. IEEE Journal of Oceanic Engineering, 2008, 33(3): 302-320. doi: 10.1109/JOE.2008.924837 [5] Fan J H, Liu X H, Yang Y X. Low-Cost and high-resolution three-dimensional side-scan sonar array design and imaging process[C]//15th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2025. 2025: 1-6. [6] Schmidt J. Implementation of the digital receiver in multibeam long-range sonar[R]. 2014. [7] 魏建汀, 尹东源. CS-1型侧扫声呐系统[J]. 海洋技术, 1997, 16(1): 1-13. [8] 朱维庆, 刘晓东, 朱敏, 等. 测深侧扫声呐差分相位估计[J]. 声学学报, 2003, 28(6): 481-485. doi: 10.3321/j.issn:0371-0025.2003.06.001Zhu W Q, Liu X D, Zhu M, et al. Differential phase estimation of bathymetric side scan sonar[J]. Acta Acustica, 2003, 28(6): 481-485. doi: 10.3321/j.issn:0371-0025.2003.06.001 [9] 刘雄厚, 孙超, 杨益新, 等. 密布式MIMO声呐成像原理与技术[M]. 北京: 科学出版社, 2022. [10] 刘雄厚, 孙超, 杨益新, 等. 单基地多输入多输出声呐的方位分辨力[J]. 声学学报, 2016, 41(2): 163-173.Liu X H, Sun C, Yang Y X, et al. On angle resolution of mono-static multiple-input multiple-output sonar[J]. Acta Acustica, 2016, 41(2): 163-173. [11] 崔致远, 杨云川, 石磊, 等. 基于声自导平台解卷积MIMO声呐高分辨成像方法[J]. 水下无人系统学报, 2026, 34(1): 65-75Cui Z Y, Yang Y C, Shi L, et al. High-resolution imaging method of deconvolution MIMO sonar based on acoustic homing platform[J]. Journal of Unmanned Undersea Systems, 2026, 34(1): 65-75. [12] 滕婷婷, 孙大军, 刘鑫, 等. 波形分集MIMO成像声呐技术研究[J]. 哈尔滨工程大学学报, 2013, 34(5): 581-587. doi: 10.3969/j.issn.1006-7043.201207034Teng T T, Sun D J, Liu X, et al. The techniques for waveform diversity MIMO imaging sonar[J]. Journal of Harbin Engineering University, 2013, 34(5): 581-587. doi: 10.3969/j.issn.1006-7043.201207034 [13] 孙超, 刘雄厚. MIMO声纳: 概念与技术特点探讨[J]. 声学技术, 2012, 31(2): 117-124. doi: 10.3969/j.issn1000-3630.2012.02.002Sun C, Liu X H. MIMO sonar: concept and technical characteristic discuss[J]. Technical Acoustics, 2012, 31(2): 117-124. doi: 10.3969/j.issn1000-3630.2012.02.002 [14] 樊宽, 孙超, 刘雄厚, 等. 联合匹配滤波MIMO声呐发射分集平滑DOA估计方法[J]. 西北工业大学学报, 2020, 38(1): 6-13. doi: 10.3969/j.issn.1000-2758.2020.01.002Fan K, Sun C, Liu X H, et al. MIMO sonar DOA estimation with joint matched-filtering based on transmission diversity smoothing[J]. Journal of Northwestern Polytechnical University, 2020, 38(1): 6-13. doi: 10.3969/j.issn.1000-2758.2020.01.002 [15] Trucco A, Palmese M, Repetto S. Devising an affordable sonar system for underwater 3-D vision[J]. IEEE Transactions on Instrumentation and Measurement, 2008, 57(10): 2348-2354. doi: 10.1109/TIM.2008.922111 [16] Gu B X, Chen Y X, Liu X S, et al. Distributed convex optimization compressed sensing method for sparse planar array synthesis in 3-D imaging sonar systems[J]. IEEE Journal of Oceanic Engineering, 2020, 45(3): 1022-1033. doi: 10.1109/JOE.2019.2914983 [17] 冷开静, 刘春跃, 张皞正, 等. 舷侧阵稀疏优化与目标定位协同设计研究[J/OL]. 声学技术, 2026-03-23. http://www.sxjs.ac.cn/article/doi/10.16300/j.cnki.1000-3630.25060503.Leng K J, Liu C Y, Zhang H Z, et al. Research on co-design of sparse optimization and target localization for flank arrays[J/OL]. Technical Acoustics, 2026-03-23. http://www.sxjs.ac.cn/article/doi/10.16300/j.cnki.1000-3630.25060503. [18] 于涤非, 张春华, 黄勇. 三维成像声呐平面基阵稀疏化目标函数的设计[J]. 西北工业大学学报, 2017, 35(1): 164-169.Yu D F, Zhang C H, Huang Y. Design of cost function on thinning planar array of 3-D sonar[J]. Journal of Northwestern Polytechnical University, 2017, 35(1): 164-169. [19] Kirkebo J E, Austeng A. Sparse cylindrical sonar arrays[J]. IEEE Journal of Oceanic Engineering, 2008, 33(2): 224-231. doi: 10.1109/JOE.2008.923553 -

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