Knowledge-aided conjugate gradient algorithm for adaptive space-time processing in airborne radar

摘要：

The convergence nature of conventional conjugate gradient (CG) algorithm often resultIndegraded system performance.This paper presents A new knowledge-aided CG(KACG) approach to the cancellation of clutter echoes in modern AEW radar systems equipped with digital beamforming. KACG use finite precision knowledge of the radar system parameters and flight geometry knowledge to perform initialization. Results of experiments indicate that the improvement inconvergence can be substantial. Compared to the original CG approach,KACG can be regarded as practical solutions for robust and effective space-time adaptive processing (STAP).

作者: Bin Tang Xue-gang Wang Xiao-xia Zheng

作者单位: School of Electronic Engineering,UESTC Chengdu,China

会议类型: 国际会议

会议名称: 2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)

会议地点: 南京

会议语种:英文

页码: 1185-1188

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）