Ship detection in strong clutter environment based on adaptive regression thresholding for HFSWR

	Ship detection in strong clutter environment based on adaptive regression thresholding for HFSWR
	Ji Yonggang; Xu Leda; Wang Yiming; Chu Xiaoliang
	2015
关键词	HFSWR ship detection strong clutter environment adaptive detection method
卷号	6
页码	352-355
英文摘要	High Frequency Surface Wave Radar (HFSWR) has the ability to detect and track ships in real time and beyond the horizon continuously. The method of adaptive power regression thresholding (APRT) is one of good adaptive detection methods for HFSWR, and it works well in most cases. But in strong clutter environment, some strong clutters with high amplitude will raise the noise level, which would overestimate the detection threshold along Doppler cells or range cells and cause some ships become undetectable. This paper proposes an improved method to solve the problem appearing in strong clutter environment based on APRT method. It adds a process of strong clutter suppression before ship detection to eliminate its influence on estimation of noise level and detection threshold. The processing results of real measured HFSWR data show that the improved method can effectively improve the performance of detector under strong sea clutter environment.
会议录	PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ELECTRONIC TECHNOLOGY
会议录出版者	ATLANTIS PRESS
会议录出版地	29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
语种	英语
WOS研究方向	Computer Science
WOS记录号	WOS:000358534900078
WOS关键词	CFAR
内容类型	会议论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/27307]
专题	自然资源部第一海洋研究所
通讯作者	Ji Yonggang
作者单位	State Ocean Adm, Inst Oceanog 1, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Ji Yonggang,Xu Leda,Wang Yiming,et al. Ship detection in strong clutter environment based on adaptive regression thresholding for HFSWR[C]. 见:.