Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system

doi:10.1007/s13131-018-1250-0

	Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system
	Zhang Hui 1,2; Liu Yongxin 2; Ji Yonggang 3; Wang Linglin 1
刊名	ACTA OCEANOLOGICA SINICA
	2018-07
卷号	37 期号:7 页码:131-140
关键词	vessel tracking high-frequency surface wave radar automatic identification system joint probabilistic data association unscented Kalman filter
ISSN号	0253-505X
DOI	10.1007/s13131-018-1250-0
英文摘要	High-frequency surface wave radar (HFSWR) and automatic identification system (AIS) are the two most important sensors used for vessel tracking. The HFSWR can be applied to tracking all vessels in a detection area, while the AIS is usually used to verify the information of cooperative vessels. Because of interference from sea clutter, employing single-frequency HFSWR for vessel tracking may obscure vessels located in the blind zones of Bragg peaks. Analyzing changes in the detection frequencies constitutes an effective method for addressing this deficiency. A solution consisting of vessel fusion tracking is proposed using dual-frequency HFSWR data calibrated by the AIS. Since different systematic biases exist between HFSWR frequency measurements and AIS measurements, AIS information is used to estimate and correct the HFSWR systematic biases at each frequency. First, AIS point measurements for cooperative vessels are associated with the HFSWR measurements using a JVC assignment algorithm. From the association results of the cooperative vessels, the systematic biases in the dualfrequency HFSWR data are estimated and corrected. Then, based on the corrected dual-frequency HFSWR data, the vessels are tracked using a dual-frequency fusion joint probabilistic data association (JPDA)-unscented Kalman filter (UKF) algorithm. Experimental results using real-life detection data show that the proposed method is efficient at tracking vessels in real time and can improve the tracking capability and accuracy compared with tracking processes involving single-frequency data.
资助项目	Marine Scientific Research Special Funds for Public Welfare of China[201505002]
WOS关键词	MARITIME SURVEILLANCE ; AIS ; SAR
WOS研究方向	Oceanography
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000440454600013
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/26106]
专题	自然资源部第一海洋研究所
通讯作者	Liu Yongxin
作者单位	1.Inner Mongolia Univ, Coll Comp Sci, Hohhot 010021, Peoples R China 2.Inner Mongolia Univ, Coll Elect Informat Engn, Hohhot 010021, Peoples R China 3.State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Zhang Hui,Liu Yongxin,Ji Yonggang,et al. Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system[J]. ACTA OCEANOLOGICA SINICA,2018,37(7):131-140.
APA	Zhang Hui,Liu Yongxin,Ji Yonggang,&Wang Linglin.(2018).Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system.ACTA OCEANOLOGICA SINICA,37(7),131-140.
MLA	Zhang Hui,et al."Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system".ACTA OCEANOLOGICA SINICA 37.7(2018):131-140.