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针对水声矢量信号处理框架中的高速运动目标低信噪比小快拍条件下的稳健高分辨方位估计问题,将压缩感知技术应用于水声矢量信号空间谱估计模型中.结合声矢量传感器结构特性,探讨了基于声压振速联合处理的广义时域滤波方法;结合矩阵空域预滤波理论,设计了基于阻带约束通带均方误差最大值最小的空域滤波器,研究了矢量声纳空域预滤波方法;结合以上分析,提出了基于压缩感知技术的时空联合滤波高分辨方位估计方法,给出了方法的数学模型、物理解释及具体实施步骤.理论分析和计算机仿真试验表明,新方法对于小快拍数条件下的矢量声纳高速运动目标高分辨方位估计问题,具有较低的双目标分辨门限和较高的估计精度,有着良好的应用前景.湖上试验验证了方法的有效性.
Aiming at the robust and high resolution DOA estimation problem of high speed moving targets with low signal-to-noise ratio and fast snapshot in underwater acoustic vector signal processing frame, the compressive sensing technique is applied to the spatial spectrum estimation model of underwater acoustic vector signals.Based on the structure of acoustic vector sensor The generalized time-domain filtering method based on joint processing of sound pressure and pressure is discussed. Based on the pre-filtering theory of matrix space-domain, a space-domain filter based on the minimum mean square error of the passband constraint is designed. Based on the above analysis, this paper proposes a high-resolution space-time joint filtering method based on compressive sensing technology, and gives the mathematical model, physical explanation and specific implementation steps of the method.Statistical analysis and computer simulation show that the new method is effective for The high-resolution DOA estimation of high-speed moving targets of vector sonar under the condition of small snapshot number, has a low target resolution and a high estimation accuracy, and has a good prospect of application.Experiments on the lake verify the effectiveness of the method.