KNOWLEDGE-BASED SPACE-TIME ADAPTIVE PROCESSING

摘要：

This paper presents a novel concept for knowledge-bated control of space-time adaptive processing.Firstly use a-prior knowledge to pre-adapttve, and then use non-homogeneity detector (NHD) to distinguish homogeneous range cells and non-homogenous ones.Secondly respectively use statistical algorithm and two-stage hybrid approach or other non-statistical approach to process homogeneous range cells and non-homogeneous range cells, to detect and track target.Lastly Mountaintop data simulation results show that this knowledge-based space-time adaptive processing approach signiflcantly enhances the processing performance for airborne surveillance application in practical complex environment.

关键词： Knowledge-based space-time adaptive processing (STAP) correlation dimension non-homogeneity detection (CD-NIID) two-stage hybrid approach

作者: LIN-RU YOU XIAO-QIN WEN SHU-E BI

作者单位: School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641 School of Electronic and Information Engineering, South China University of Technology, Guangzhou 51

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2431-2435

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）