稀疏步进频合成孔径雷达成像算法  

An Imaging Algorithm of SAR Using Sparse Stepped Frequency Waveform

作　　者：陈一畅 张群[1] 顾福飞[1] 蒋华[1] 

机构地区：[1]空军工程大学信息与导航学院,陕西西安710077

出　　处：《空军工程大学学报（自然科学版）》2014年第2期33-36,48,共5页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国家重点基础研究发展计划资助项目(2010CB731905);广西无线宽带通信与信号处理重点实验室2011年度开放基金资助项目(21102);陕西省自然科学基金资助项目(2011JM8031)

摘　　要：提出了一种适用于稀疏步进频信号的成像算法,以较少的时间和频谱资源完成了雷达目标成像。该算法将稀疏步进频回波数据等效为均匀步进频回波数据的观测值,利用压缩感知重构算法实现目标区域的距离向重构,然后经过距离徙动校正与方位向脉压完成对目标场景成像。仿真结果表明:该算法在发射频点高度稀疏条件下仍能实现高分辨成像。采用地基雷达实测数据验证了算法的有效性。Ultra-wideband frequency-stepped signal is an effective radar signal, but its anti-]lamming ability is not enough, and its pulse-width time is too long. To solve these problems, an imaging algorithm based on sparse frequency-stepped signal is proposed, the use of which can complete the target imaging with less resource of time and spectrum. In the proposed algorithm, the echo data of sparse frequency-stepped sig- nals are equivalent to the observed values of the echo data of the traditional frequency-stepped signals. Therefore, the reconstruction of the high-resolution range profile can be realized based on the compressive sensing （CS） theory. Then, the target scene imaging can be completed by range cell migration correction and azimuth pulse compression. The simulation results demonstrate that the use of the algorithm can achieve a high-resolution imaging while the transmitted frequency-stepped signal is sparse in frequency domain. Finally, the ground-based radar experiment data are adopted to verify the effectiveness of the proposed algorithm.

关 键 词：合成孔径雷达 稀疏步进频 压缩感知 

分 类 号：TP957[自动化与计算机技术]