Knowledge Aided Ground Moving Target Tracking Processing Method

摘要：

　　Tracking ground moving targets with airborne radar cannot guarantee track quality and continuity due to high target density,high clutter,and low visibility.In order to solve this problem,all kinds of aided information are widely utilized in different ways.As to a kind of aided information given as geospatial map,this paper proposes a new aided knowledge fusion method.Via performing the road judgment and shadow judgment in geospatial point perspective,the new fusion method reduces the implementation complexity significantly.The simulation results prove that the new aided knowledge fusion method proposed by this paper can fuse the aided information effectively in ground moving targets tracking.

关键词： ground moving target tracking knowledge aided variable structure interacting multiple model filter multiple-hypothesis tracking

作者: FU Jinbin SUN Jinping ZHANG Xuwang

作者单位: School of Electronic and Information Engineering Beihang University Beijing, China

会议类型: 国际会议

会议名称: 2015 Fifth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2015)(第五届仪器测量、计算机通信与控制国际会议)

会议地点: 秦皇岛

会议语种:英文

页码: 771-776

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）