A Correction Method for Imaging Buried Targets in Layered Media Based on the Range-Doppler Algorithm

JIANG Haosong; LI mei

doi:10.11993/j.issn.2096-3920.2026-0043

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JIANG Haosong, LI mei. A Correction Method for Imaging Buried Targets in Layered Media Based on the Range-Doppler Algorithm[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0043

Citation:

JIANG Haosong, LI mei. A Correction Method for Imaging Buried Targets in Layered Media Based on the Range-Doppler Algorithm[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0043

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A Correction Method for Imaging Buried Targets in Layered Media Based on the Range-Doppler Algorithm

doi: 10.11993/j.issn.2096-3920.2026-0043

Shanghai Marine Electronic Equipment Research Institute, Shanghai 201108, China

Received Date: 2026-03-05
Accepted Date: 2026-05-13
Rev Recd Date: 2026-05-12

Available Online: 2026-05-27

Abstract

Abstract

Synthetic aperture imaging algorithms are generally based on the assumption of a homogeneous medium. When detecting buried targets on the seafloor, refraction occurs as acoustic waves pass through the medium interface, leading to image defocusing and positioning errors. To address this issue, this paper proposes a parameter correction algorithm suitable for layered medium imaging. First, a seawater-sediment layer refraction propagation model is constructed, and based on Snell's law, an expression for the two-way propagation delay is derived, along with a joint estimation method for sediment layer sound speed and burial depth. Second, this layered model is embedded into the range-Doppler (R-D) algorithm, and the analytical expressions for Doppler frequency modulation and range migration correction are rederived and corrected. Finally, numerical simulations compare the imaging results before and after algorithm correction at different burial depths. The results indicate that the corrected algorithm can effectively rectify range positioning deviations caused by refraction and improve azimuth focusing performance, thereby validating the effectiveness of the proposed correction algorithm.
- synthetic aperture imaging,
- layered media,
- buried targets,
- range-Doppler algorithm

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References(13)

References

[1]	刘纪元. 合成孔径声呐技术研究进展[J]. 中国科学院刊刊, 2019, 34(3): 306. Liu J Y. Advancement of synthetic aperture sonar technique[J]. Bulletin of Chinese Academy of Sciences, 2019, 34(3): 306.
[2]	Schock S G, Tellier A, Wulf J, et al. Buried object scanning sonar[J]. IEEE Journal of Oceanic Engineering, 2001, 26(4): 677-689. doi: 10.1109/48.972111
[3]	刘梦婷, 于盛齐, 谢志敏, 等. 海底掩埋目标声探测与识别关键技术进展[J]. 哈尔滨工程大学学报, 2024, 45(5): 910-921. doi: 10.11990/jheu.202312022 Liu M T, Yu S Q, Xie Z M, et al. Research progress on key technologies of acoustic detection and identification of seabed buried targets[J]. Journal of Harbin Engineering University, 2024, 45(5): 910-921. doi: 10.11990/jheu.202312022
[4]	陈晓鹏, 周利生. 掩埋小目标声探测技术研究[J]. 声学技术, 2012, 31(1): 30-35. doi: 10.3969/j.issn1000-3630.2012.01.004 Chen X P, Zhou L S. Research on acoustic detection technology for buried small targets[J]. Technical Acoustics, 2012, 31(1): 30-35. doi: 10.3969/j.issn1000-3630.2012.01.004
[5]	Chatillon J, Adams A E, Lawlor M A, et al. SAMI: A low-frequency prototype for mapping and imaging of the seabed by means of synthetic aperture[J]. IEEE Journal of Oceanic Engineering, 1999, 24(1): 4-15. doi: 10.1109/48.740152
[6]	Gutowski M, Bull J M, Dix J K, et al. 3D high-resolution acoustic imaging of the sub-seabed[J]. Applied Acoustics, 2008, 69(3): 262-271. doi: 10.1016/j.apacoust.2006.08.010
[7]	刘纪元, 李淑秋, 李丽英, 等. 合成孔径声呐并行实时处理研究[J]. 电子与信息学报, 2003, 25(6): 777-783. Liu J Y, Li S Q, Li L Y, et al. Research on parallel real-time processing of synthetic aperture sonar[J]. Journal of Electronics & Information Technology, 2003, 25(6): 777-783.
[8]	刘昊, 刘维, 刘纪元. 合成孔径成像中掩埋目标的深度误差分析[J]. 声学技术, 2015, 34(3): 214-218. Liu H, Liu W, Liu J Y. Depth error analysis of buried targets in synthetic aperture imaging[J]. Technical Acoustics, 2015, 34(3): 214-218.
[9]	周跃涛, 王朋, 黄海宁. 基于精确时延并行时域算法的低频合成孔径系统[J]. 哈尔滨工程大学学报, 2020, 41(5): 698-704. doi: 10.11990/jheu.201812017 Zhou Y T, Wang P, Huang H N. Low-frequency synthetic aperture system based on precise time-delay parallel time-domain algorithm[J]. Journal of Harbin Engineering University, 2020, 41(5): 698-704. doi: 10.11990/jheu.201812017
[10]	张维, 杨士莪, 汤云峰, 等. 不平稳海底环境下的浅海本征声线求解方法[J]. 哈尔滨工程大学学报, 2011, 32(12): 1544-1548. Zhang W, Yang S E, Tang Y F, et al. Solution method of eigenrays in shallow water with unsteady seabed environment[J]. Journal of Harbin Engineering University, 2011, 32(12): 1544-1548.
[11]	盛振新, 刘荣忠, 郭锐, 等. 分层海洋中求取本征声线数值方法研究[J]. 微处理机, 2010, 31(5): 90-92. doi: 10.3969/j.issn.1002-2279.2010.05.026 Sheng Z X, Liu R Z, Guo R, et al. Numerical method for solving eigenrays in layered ocean[J]. Microprocessors, 2010, 31(5): 90-92. doi: 10.3969/j.issn.1002-2279.2010.05.026
[12]	汪格璇. 合成孔径声呐水下掩埋物掩埋深度估计技术[D]. 中国科学院大学, 2021.
[13]	Hayes M P, Gough P T. Synthetic aperture sonar: A review of current status[J]. IEEE Journal of Oceanic Engineering, 2009, 34(3): 207-224. doi: 10.1109/JOE.2009.2020853