摘要
无人潜航器集群的发展对水下目标探测产生了巨大挑战。针对水下多个低可探测目标检测问题和隐蔽性探测需求,提出一种基于Hough变换检测前跟踪的水下多目标被动检测方法。利用航空被动声纳浮标阵,构建水下无人潜航器被动检测模型;采用多枚被动声纳浮标自适应关联交叉定位技术,实现隐蔽检测前的数据预处理;采用双门限随机Hough变换检测前跟踪算法,实现水下高噪声密度条件下多目标的低可探测性的需求。仿真结果表明,该方法在低信噪比、多目标点迹交叉条件下具有较好的检测性能。
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.
作者
王学敏
于洪波
张翔宇
安舒
李文海
WANG Xuemin;YU Hongbo;ZHANG Xiangyu;AN Shu;LI Wenhai(Naval Aviation University,Yantai 264001,Shandong,China;College of Information and Communication Engineering,North University of China,Taiyuan 030023,Shanxi,China)
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2023年第7期2114-2121,共8页
Acta Armamentarii
基金
全军研究生资助课题(JY2021A011)
国家自然科学基金项目(62271498)。
关键词
水下多目标
目标检测
无人潜航器
被动声纳
HOUGH变换
检测前跟踪
underwater targets
target detection
unmanned underwater vehicle
passive sonar
Hough transform
track-before-detect
