Passive localization of shallow sea targets using interferogram
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摘要: 提出了一种利用3个接收水听器对目标进行定位的算法。该方法对各水听器接收到的低频分析记录（LOFAR）谱图,利用Hough变换提取得到目标运动轨迹的最近通过点（CPA）参数。根据文中提出的最近点关联算法可以确定目标的运动速度,从而解算目标与各个水听器之间的距离,由此便可以结合三边定位原理对目标定位。仿真与海试数据的处理结果表明,本文定位方法可以在缺乏环境参数的情况下对匀速运动的目标进行定位。Abstract: This paper introduces an algorithm for target location using three receiver hydrophones.The Hough transform is used to extract the closest point of approach Closest Point of Approach（CPA） of the target trajectory from Low Frequency Analysis and Recording（LOFAR） spectra received by hydrophones.According to the closest point association algorithm proposed in this paper,the moving speed of the target can be determined,and the distance between the target and each hydrophone can be calculated,so that the target can be located by combining the principle of three-side positioning.Simulation and sea trial data processing results show that the proposed method can locate the target with uniform velocity in the absence of environmental parameters.
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期刊类型引用(5)
1. SHI Yunjia，PIAO Shengchun，GUO Junyuan，ZHANG Liu. Signal space transform and multidimensional information joint processing for moving target. Chinese Journal of Acoustics. 2024(01): 23-48 . 
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3. 邹男，于金正，桑志远，李娜，苏薪元，杨嘉轩，惠云梦. 非合作线谱声源分布式定位方法. 应用声学. 2024(03): 654-660 . 百度学术
4. 石蕴佳，朴胜春，郭俊媛，张柳. 运动目标时空频信号变换与多维信息关联. 声学学报. 2023(05): 920-936 . 本站查看
5. 何颖，莫愿斌. 基于优化深度学习的三维无源目标定位方法. 计算机仿真. 2023(08): 5-8+412 . 百度学术
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