一种基于方位估计的双站被动声呐航迹关联方法
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黄凡(1983-),男,博士,主要从事水中兵器监造工作。

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TN953

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A Track Correlation Method for Bistatic Passive Sonar Based on DOA Estimation
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    摘要:

    当探测区域存在多个目标时,双站被动声呐测向系统通过目标方位线交叉定位会产生多个交点,对被动声呐的测量方位进行关联即是剔除虚假交点,选择真实交点。在两被动声呐对目标方位保持连续跟踪的条件下,提出了一种利用方位预关联形成关联航迹对目标的位置和方位值进行估计,根据估计值与传感器实测方位值的偏差大小来判定预关联正确性的决策规则,结合海上实验数据仿真验证了方法的有效性。

    Abstract:

    If there are more than one target in the detecting area,the bistatic passive sonar direction-finding system will generate multiple intersection points through the cross positioning of target bearing lines. Correlating the measured bearings by passive sonars to eliminate the illusive intersections and select the real ones. Under the condition where that two passive sonars keep continuous tracking of the target position,a decision rule is proposed to estimate the position and bearing value of the target by using bearing pre-correlation to form a correlated track,and to determine the correctness of pre-correlation depending on the deviation between the estimated value and the bearing value measured by sensors. The effectiveness of this method is verified by simulation of marine experimental data.

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黄凡.一种基于方位估计的双站被动声呐航迹关联方法[J].数字海洋与水下攻防,2020,3(5):387-392

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  • 在线发布日期: 2021-03-09
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