桂林电子科技大学学报2012，Vol.32Issue(2)：93-96,154,5.
基于MMV模型压缩感知在超宽带穿墙雷达的应用
The application of CS in ultra-wideband through-wall radar based on MMV model
摘要
Abstract
With the continuous progress of modern science and sensor systems sustainable development, access to data and increased the capacity,we need to deal with the amount of data is also larger. Shannon adopted the Nyquist sample theorem (Shannon/Nyquist) during data sampling. In order to ensure that does not restore the original signal distortion, the Nyquist sampling theorem requires the sampling frequency must be greater than equal to twice the signal handwidth. Compressed sensing theory broke through the limitations of the traditional Nyquist sampling, using very little sample data will be able to recover the original signal. This papar , with a specific work process for ultra-wideband through-wall radar and through-wall radar target imaging space sparsity is presented based on MMV model of compressed sensing, and simulation results show the feasibility and effectiveness of the method.关键词
超宽带/压缩感知/MMV模型/有效性Key words
ultra-wideband/ compressive sampling/ MMV model/ effective分类
信息技术与安全科学引用本文复制引用
刘俞伯..基于MMV模型压缩感知在超宽带穿墙雷达的应用[J].桂林电子科技大学学报,2012,32(2):93-96,154,5.基金项目
国家自然科学基金(60572054) （60572054）
