计算机工程与科学2012，Vol.34Issue(7)：114-119,6.DOI:10.3969/j.issn.1007-130X.2012.07.021
基于压缩感知的低数据率雷达采样与成像方法
Radar Sampling and Imaging Based on Compressive Sensing Method with Low Data Rate
摘要
Abstract
The classical signal acquisition systems require the sampling rate to be larger than twice the bandwidth of the signal. This makes the very high rate analog to digital conversion become a bottleneck in the design of modern high resolution radar systems. Compressive Sensing theory provides us with a new approach for exact signal acquiring and recovery with low data rate. This paper proposes a new approach for radar sampling and imaging based on compressive sensing. According to the characteristics of the target's radar scattering, sparse representation of the scattering coefficients is established by using wavelet transform. Moreover, the Fourier ensemble based compressive sampling matrix is designed with the consideration of the SAR imaging principle. Finally, the presented method is validated by numerical simulation, where a better imaging result, especially for the weak target high resolution imaging, is obtained with only 15% data rate compared to the conventional imaging methods. The radar sampling and imaging method presented in this paper can support the development of high resolution radar imaging systems.关键词
压缩感知/合成孔径雷达/采样/稀疏重构Key words
compressive sensing/synthetic aperture radar/sampling/ sparse recovery分类
信息技术与安全科学引用本文复制引用
刘吉英,朱炬波..基于压缩感知的低数据率雷达采样与成像方法[J].计算机工程与科学,2012,34(7):114-119,6.基金项目
国家自然科学基金资助项目(60802079,60901071) （60802079,60901071）
