摘要
研究压缩感知(CS)理论在运动目标ISAR成像中的应用问题,结合CS理论的使用条件和ISAR雷达系统探测需求,提出一种基于随机重复频率的采样方案.针对毫米波ISAR观测运动目标时有严重的多普勒模糊问题,提出一种基于随机重频的运动目标CS成像方法,并分析随机重复间隔的变化区间宽度和最小变化间隔对该方法性能的影响.计算机仿真和实际数据处理结果验证了本方法的有效性.
A moving target ISAR imaging method based on compressed sensing （CS） theory is presented. Random pulse repetition frequency is used to meet the requirements of both CS theory and ISAR target detection. This ISAR imaging method based on random pulse repetition frequency and CS theory is aimed at solving the Doppler ambiguity problem brought by moving target in ISAR observation model. The effects of the change range of the random interval and the minimum of the change step on the pesformance of the method are analyzed. The validity of the proposed method is testified by the simulation and applications.
出处
《中国科学院大学学报（中英文）》
CAS
CSCD
北大核心
2014年第2期231-237,共7页
Journal of University of Chinese Academy of Sciences
基金
国家自然科学基金(61271422)
中国科学院支撑项目资助
关键词
ISAR成像
压缩感知
运动目标
多普勒模糊
随机重复频率
ISAR imaging
compressed sensing
moving target
Doppler ambiguity
random pulse repetition frequency
