会议专题

The Study of Moving Target Detection Algorithm Based on Wind Field Detected by Lidar

Aiming at the situation that normal detection means is hard to find the airborne moving target that has a small RCS and rapid moving speed characteristics, the algorithm of moving target detection is presented based on atmospheric wind field disturbing data detected by lidar. First, through receiving atmospheric wind field disturbance information that is produced by the airborne moving target moving on the air, and the excellent characteristics that lidar has in the detection atmosphere, atmospheric wind field disturbing retrieval model is established to acquire moving target space field distribution condition. Moving target space field change data is acquired based on filtering background air disturbance information, Moving target detection is carried out based on moving target detection algorithm. The result shows there is consistent between moving target detected by the algorithm and experimental result. An effective approach of greatly improving moving target detection ability for the low_detectable target is supplied.

laser optics detection algorithm wind field retrieval atmospheric disturbance

Youlin Gu Jihai Niu Rui Zhang Yonghua Wu Shengliang Fang Yihua Hu

State Key Laboratory of Pulsed Power Laser Technology(Electronic Engineering Institute) Anhui Electr Anhui Electronic Engineering Institute Hefei Anhui 230037,P.R.China

国际会议

2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

南京

英文

52-55

2010-08-26(万方平台首次上网日期,不代表论文的发表时间)