Underwater Multi-target Detection Method Based on Hough Transform Track-before-detect Technique

被引：0
|
作者：
Wang X. [1 ]
Yu H. [1 ]
Zhang X. [1 ,2 ]
An S. [1 ]
Li W. [1 ]
机构：
[1] Naval Aviation University, Shandong, Yantai
[2] College of Information and Communication Engineering, North University of China, Shanxi, Taiyuan
来源：
Binggong Xuebao/Acta Armamentarii | 2023年 / 44卷 / 07期
关键词：
Hough transform; passive sonar; target detection; track-before-detect; underwater targets; unmanned underwater vehicle;
D O I：
10.12382/bgxb.2022.0290
中图分类号：
学科分类号：
摘要：
The development of unmanned underwater vehicle cluster poses a great challenge to underwater target detection. Aiming at the detection problem of underwater multiple low detectable targets and the need for concealment detection, an underwater multi-target passive detection method based on Hough transform tracking before detection technique was proposed. Firstly, a passive detection model of unmanned underwater vehicle was constructed by using aviation passive sonar buoy array. Secondly, the adaptive correlation cross location technology of multiple passive sonar buoys was used to realize data preprocessing before concealment detection. Finally, the two-threshold randomized Hough transform track-before-detect algorithm was adopted to achieve effective detection of multi-targets with low detectability in high noise density conditions. Simulation results show that this method has good detection performance under the conditions of low signal-to-noise ratio with intersecting point traces of multiple targets. © 2023 China Ordnance Society. All rights reserved.
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页码：2114 / 2121
页数：7
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