Pseudo Random Binary Sequence GPR Imaging via Compressive Sensing
In this paper,the Pseudo Random Binary Sequence Ground Penetrating Radar(PRBS-GPR)is investigated under the Compressive Sensing(CS)framework.We show that the bernoulli signal transmitted by PRBS-GPR has an inherent connection with CS theory,and sampling rate can be reduced without loss of resolution.The Restricted Isometry Property(RIP)of subsampled toeplitz bernoulli matrix is obtained by theoretical analysis,then exact reconstruction is guaranteed by some well-known theorems.Our analysis is not restricted on the bernoulli case,so extensions can be made to a larger class of noise modulated radar systems.
Xin Xu Wei Wang Zhiwei Lin Peng Zhang Xiaojuan Zhang
Graduate School,Chinese Academy of Sciences,Beijing,China;Institute of Electronics,Chinese Academy o Institute of Electronics,Chinese Academy of Sciences,Beijing,China
国际会议
Progress in Electromagnetics Research Symposium 2011(2011年电磁学研究新进展学术研讨会)
苏州
英文
699-703
2011-09-01(万方平台首次上网日期,不代表论文的发表时间)