Sparse Passive Radar Imaging Based on Digital Video Broadcasting Satellites Using the MUSIC Algorithm

摘要：

　　This paper investigates the passive radar imaging system which exploits digital video broadcasting (DVB) satellites as opportunity illuminators.Firstly,we establish the imaging model and then analyze the imaging performance in the wavenumber domain.Because of the practical limitations,we are likely to get an undersampled wavenumber domain coverage so that traditional imaging methods such as matched filter (MF) would fail to provide good imaging performance.Therefore,we consider to use the sparse recovery techniques to achieve good inversion results.However,the compressive sensing (CS) imaging methods would be severely affected when off-grid scatterers exist.According to the theories of the Xampling and the finite rate of innovation (FRI),we propose a high-resolution sparse imaging method to overcome the problems above,which is based on the multiple signal classification (MUSIC) algorithm.Simulation results verify the effectiveness of the proposed method.

关键词： Sparse passive radar imaging DVB satellites MUSIC algorithm

作者: Tianyun Wang Changchang Liu Hongchao Lu Weidong Chen

作者单位: Department of Electronic Engineering and Information Science University of Science and Technology of China, Hefei, Anhui, P.R.China

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 1925-1930

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）