极浅海环境下时间分集MIMO声呐高分辨成像方法OA
High-Resolution Imaging Method for Time-Diversity MIMO Sonar in Extremely Shallow Water Environments
传统多输入多输出(MIMO)声呐在极浅海强混响环境下,受同步正交波形互相关干扰影响,其距离维高旁瓣会显著抬升混响背景,导致自适应波束形成算法性能大幅下降.为此,文中提出一种适用极浅海环境的时间分集 MIMO 声呐高分辨成像方法.该方法通过时分机制依次发射相同线性调频信号,利用脉冲周期实现回波时域分离,消除互相关干扰;同时结合时域截断与数据重组,构建孔径加倍的等效均匀虚拟线列阵,完整保留 MIMO 体制的高角度分辨率.仿真结果表明,在信混比低至-20 dB 的强混响背景下,该方法有效抑制了距离维旁瓣,使最小方差无畸变响应算法的自适应滤波能力得以充分发挥.与传统正交 MIMO 声呐相比,其-3 dB 主瓣宽度、旁瓣级与积分旁瓣比得到明显改善,可为极浅海小目标高分辨成像提供一种兼顾虚拟孔径与强抗干扰能力的可行方案.
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.
翟清越;刘雄厚;杨益新
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南京理工大学 电子工程与光电技术学院,南京,210094
军事科技
极浅海MIMO 声呐时间分集互相关干扰高分辨成像
extremely shallow waterMIMO sonartime diversitycross-correlation interferencehigh-resolution imaging
《水下无人系统学报》 2026 (3)
489-499,11
国家重点研发计划(YFC1400200)国家自然科学基金(U2341203201612274346).
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