摘要
稀疏信号表示在与信号结构匹配方面具有很大的灵活性,可以用于逆合成孔径雷达(ISAR)成像。目前常用的算法基寻踪法和FOCUSS法都是并行算法,计算量很大。而匹配追踪法是一种逐步选取基函数的算法,计算量小。因而是一种更有效的成像算法。对于仿真和真实ISAR雷达数据,匹配追踪法得到的图像分辨率大大高于传统的傅里叶变换方法。故表明匹配追踪法是一种有效的ISAR超分辨成像方法。
As sparse signal representation has greater flexibility in matching structure in the signal,it can be used in ISAR imaging.Now the widely used algorithms Basis Pursuit(BP) and FOCUSS are parallel basis selection algorithms,whose computation is big.Matching pursuit(MP) is a sequential basis selection algorithm,whose computation is small.Therefore MP is a more effective imaging algorithm.When applying into simulating and real ISAR radar data,the resolution of the image obtained by MP is much higher than the o...
出处
《现代雷达》
CSCD
北大核心
2008年第1期19-21,25,共4页
Modern Radar
关键词
逆合成孔径雷达
稀疏信号表示
超分辨
匹配追踪
基寻踪
FOCUSS
inverse synthetic aperture radar（ISAR）
sparse signal representation
super-resolution
matching pursuit（MP）
basis pursuit（BP）
FOCUSS
