摘要
在分析传统的线性调频(LFM)信号体制ISAR高分辨距离像(HRRP)合成及二维成像原理的基础上,结合压缩感知理论,提出了一种基于二维稀疏采样的高分辨距离像合成及ISAR成像方法。该方法对经过二维稀疏采样后的ISAR回波信号进行二维重构处理,在大幅降低LFM信号采样率、减少子脉冲个数的前提下,获得高质量的HRRP和二维ISAR像;为缓解数字信号处理机的采样负担、降低已方雷达信号的被截获概率奠定了基础。仿真实验证明了该方法的有效性和可行性,同时观察了其鲁棒性。
Sparse microwave imaging technique is very important in the field of the microwave imaging. On the basis of analysis of conventional high resolution range profile （HRRP） synthesizing and ISAR imaging theory with linear frequency modulation （LFM） signal, a new method of sparse processing based on Compressed Sensing （CS） is proposed in the paper. In the method, the high quality HRRP and ISAR image can be achieved by using the two dimension reconstruction with ISAR data after two dimension sparse sampling, on the condition of apparently reducing the sampling rate and pulse number. The sampling burden of digital signal processor and the captured probability of radar signal would be diminished by using the method. The feasibility and effectiveness of the method are verified and robustness of the method is examined via simulation results.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2012年第6期847-852,共6页
Journal of University of Electronic Science and Technology of China
基金
国家973项目(2010CB731905)
关键词
压缩感知
高分辨距离像
逆合成孔径雷达
目标二维像
二维稀疏采样
compressed sensing
high resolution range profile
ISAR
two dimension image of target
two dimension sparse sampling
