摘要
为实现声信标定位系统的精确化、智能化发展,文中提出了一种基于无人水面艇(unmanned ship vehicle,USV)拖曳探测声呐的声信标定位方法.利用USV配备的多核DSP芯片,对声纳采集平台接收的数据进行处理并实现声信标的定位.介绍了声信标定位系统的整体框架以及USV系统的工作模块,并且运用自回归(autoregressive model,AR)模型预白化算法和匹配滤波对接收信号进行降噪处理,然后利用离格点稀疏贝叶斯推断(off grid sparse bayesian inference,OGSBI)算法实现了声信标的波达方向(direction of arrival,DOA)估计.最后通过仿真实验进行验证,结果表明,定位方法能够实现对声信标的DOA精确估计,进一步实现了无人声信标定位系统.
In order to realize the accuracy and intelligence of the sound beacon positioning system,this paper proposes a sound beacon positioning method based on unmanned ship vehicle(Unmanned Ship Vehicle,USV)towed detection sonar.Using a multi-core DSP chip equipped with the USV,the data received by the sonar acquisition platform is processed.In this paper,the overall framework of the acoustic beacon positioning system and the working module of the USV system are introduced in detail,and the acoustic signal is used to reduce the noise of the received signal by using the autoregressive model(Autoregressive Model,AR)pre-whitening algorithm and matching filtering,and then the off grid sparse bayesian inference(Off Grid sparse Bayesian Inference,OGSBI)algorithm is used to achieve the direction of arrival(Direction of Arrival,DOA)estimation of the sound beacon.Finally,the simulation experiments are used to verify that the positioning method described in this paper can achieve accurate estimation of the DOA of the sound beacon,and further realize the unmanned voice beacon positioning system.
作者
姜佳圆
邢传玺
万志良
许奕
JIANG Jia-yuan;XING Chuan-xi;WAN Zhi-liang;XU Yi(School of Electrical and Information Technology,Yunnan Minzu University,Kunming 650500,China)
出处
《云南民族大学学报（自然科学版）》
CAS
2023年第5期644-651,共8页
Journal of Yunnan Minzu University:Natural Sciences Edition
基金
国家自然科学基金(61761048)
云南省基础研究专项面上项目(202101AT070132)。
关键词
无人水面艇
声信标定位
DOA估计
拖曳式声纳
Unmanned Ship Vehicle
Acoustic beacon positioning
DOA estimation
Towed sonar
