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极浅海环境下时间分集MIMO声呐高分辨成像方法

翟清越 刘雄厚 杨益新

水下无人系统学报2026,Vol.34Issue(3):489-499,11.
水下无人系统学报2026,Vol.34Issue(3):489-499,11.DOI:10.11993/j.issn.2096-3920.2026-0072

极浅海环境下时间分集MIMO声呐高分辨成像方法

High-Resolution Imaging Method for Time-Diversity MIMO Sonar in Extremely Shallow Water Environments

翟清越 1刘雄厚 1杨益新2

作者信息

  • 1. 西北工业大学 航海学院,陕西 西安,710072||陕西水下信息技术重点实验室,陕西 西安,710072||汉江国家实验室,武汉,430061
  • 2. 南京理工大学 电子工程与光电技术学院,南京,210094
  • 折叠

摘要

Abstract

In extremely shallow water environments with strong reverberation,traditional multiple-input multiple-output(MIMO)sonar is affected by cross-correlation interference from synchronous orthogonal waveforms.The high range sidelobes significantly raise the reverberation background,leading to severe performance degradation of adaptive beamforming algorithms.To solve this problem,this paper proposed a high-resolution imaging method for time-diversity MIMO sonar suitable for extremely shallow water environments.The method transmitted the same linear frequency modulation signals sequentially through a time-division mechanism and separated echo signals in the time domain by using pulse repetition intervals,thus eliminating cross-correlation interference.Combined with time-domain truncation and data reconstruction,an equivalent uniform virtual linear array with doubled aperture was constructed,which fully retained the high angular resolution of the MIMO system.Simulation results show that the proposed method effectively suppresses range sidelobes under a strong reverberation background with a signal-to-reverberation ratio as low as-20 dB and fully exerts the adaptive filtering capability of the minimum variance distortionless response(MVDR)algorithm.Compared with traditional orthogonal MIMO sonar,its-3 dB main lobe width,side lobe level,and integration side lobe rate are significantly optimized,providing a feasible scheme for high-resolution imaging of small targets in extremely shallow water that takes into account both virtual aperture and strong anti-interference ability.

关键词

极浅海/MIMO 声呐/时间分集/互相关干扰/高分辨成像

Key words

extremely shallow water/MIMO sonar/time diversity/cross-correlation interference/high-resolution imaging

分类

军事科技

引用本文复制引用

翟清越,刘雄厚,杨益新..极浅海环境下时间分集MIMO声呐高分辨成像方法[J].水下无人系统学报,2026,34(3):489-499,11.

基金项目

国家重点研发计划(YFC1400200) (YFC1400200)

国家自然科学基金(U23412032016 ()

12274346). ()

水下无人系统学报

2096-3920

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