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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Joint Passive Detection and Tracking of Underwater Acoustic Target by Beamforming-Based Bernoulli Filter with Multiple Arrays
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Joint Passive Detection and Tracking of Underwater Acoustic Target by Beamforming-Based Bernoulli Filter with Multiple Arrays

机译：基于波束成形的多阵列伯努利滤波器对水下声目标的联合无源探测和跟踪

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摘要

In this paper, improved Bernoulli filtering methods are developed to deal with the problem of joint passive detection and tracking of an underwater acoustic target with multiple arrays. Three different likelihood calculation methods based on local beamforming results are proposed for the Bernoulli filter updating. Firstly, multiple peaks, including both mainlobe and sidelobe peaks, are selected to form the direction-of-arrival (DOA) measurement set, and then the Bernoulli filter is used to extract the target track. Secondly, to make full use of the informations in the beamforming output, not only the DOAs but also their intensities, the beam powers are used as the input measurement sets of the filter, and an approach based on Pearson correlation coefficient (PCC) is developed for distinguishing between signal and noise. Lastly, a hybrid method of the former two is proposed in the case of fewer then three arrays. The tracking performances of the three methods are compared in simulations and experiment. The simulations with three distributed arrays show that, compared with the DOA-based method, the beam-based method and the hybrid method can both improve the target tracking accuracy. The processing results of the shallow water experimental data collected by two arrays show that the hybrid method can achieve a better tracking performance.
机译：在本文中，改进的伯努利滤波方法被开发来解决联合被动检测和跟踪具有多个阵列的水下声目标的问题。针对伯努利滤波器的更新，提出了三种基于局部波束成形结果的似然计算方法。首先，选择包括主瓣和旁瓣峰在内的多个峰以形成到达方向（DOA）测量集，然后使用伯努利滤波器提取目标轨道。其次，为了充分利用波束赋形输出中的信息，不仅要使用DOA，还要使用其强度，将束功率用作滤波器的输入测量集，并开发了一种基于Pearson相关系数（PCC）的方法。用于区分信号和噪声。最后，在少于三个阵列的情况下，提出了前两种的混合方法。在仿真和实验中比较了这三种方法的跟踪性能。与三个分布式阵列的仿真表明，与基于DOA的方法相比，基于波束的方法和混合方法都可以提高目标跟踪精度。由两个阵列收集的浅水实验数据的处理结果表明，该混合方法可以获得较好的跟踪性能。

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