一种基于模态域波束形成的水平阵被动目标深度估计

发布时间：2018-05-30 11:17

本文选题：简正波 + 模态域波束形成　；参考：《物理学报》2017年08期

【摘要】：水面水下目标分辨与识别一直是被动声呐探测领域的难题.利用一种水平阵模态域波束形成算法获得己知方位目标声源的各阶模态强度,将其与不同深度的各阶参考模态强度进行匹配,最终实现了对声源的深度估计.仿真结果表明,该算法可以在信噪比为-10 dB的情况下,用300Hz带宽的信号样本,实现对声源深度的有效估计.系统分析了不同参数和不同波导条件对该方法目标深度估计性能的影响.其中,阵元数越多,模态样本数越多,计算频段越宽,方位估计精度越高,有效阵长越长,深度估计的性能越好.阵元间距和波导深度的变化不会影响该方法的深度估计性能,并且该方法的深度估计性能在声速剖面、海底参数等波导条件存在扰动时具有鲁棒性.
[Abstract]:The recognition and resolution of underwater targets is always a difficult problem in passive sonar detection. The beamforming algorithm of horizontal array modal domain is used to obtain each order modal intensity of the sound source of the known azimuth target, which is matched with each order reference mode intensity of different depth. Finally, the depth estimation of the sound source is realized. The simulation results show that the proposed algorithm can effectively estimate the depth of the sound source using 300Hz bandwidth signal samples at a SNR of -10 dB. The effects of different parameters and waveguide conditions on the target depth estimation performance of this method are systematically analyzed. Among them, the more the number of elements, the more the number of modal samples, the wider the calculation frequency band, the higher the precision of azimuth estimation, the longer the effective array length, the better the performance of depth estimation. The variation of array spacing and waveguide depth will not affect the depth estimation performance of the method, and the depth estimation performance of the method is robust when the waveguide conditions such as sound velocity profile and submarine parameters are perturbed.
【作者单位】：哈尔滨工程大学水声工程学院;哈尔滨工程大学水声技术重点实验室;海军大连舰艇学院军事海洋系;
【基金】：国家自然科学基金(批准号:61271443,61471378)资助的课题~~
【分类号】：TB56

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