Radar Angular Superresolution Algorithm Based on Bayesian Approach

摘要：

Angular resolution is the key parameter of radar. Conventional means of increasing angular resolution are dependent on the size of the antenna aperture. In framework of maximum likelihood, this paper presents an iterative algorithm to restore the target location information and then to obtain angular superresolution. Theoretical analyses indicate that algorithm accelerates convergence speed and achieves angular superresolution efficiently, and computational burden is relatively small. Simulation results show that the algorithm can efficiently attenuate the effect of antenna pattern convolution and highly enhance angular resolution; test data results show an order of improvement in angular resolution over real aperture image, also confirm that the method could obtain angular superresolution.

关键词： angular resolution superresolution iterative Bayesian approach

作者: Zhou Daolin Huang Yulin Yang Jianyu

作者单位: School of electronic engineering, University of Electronic Science and Technology of China Chengdu, Sichuan, 610054, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1894-1897

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）