摘要
最小熵谱外推技术是一种非参数方法。它利用熵作为信号分辨率的度量,熵越小则信号分辨率越高。基于最小熵准则对信号的频谱进行外推,就可以提高信号的分辨率。文中提出将最小熵谱外推技术用于实现步进频率雷达距离超分辨;计算机仿真结果表明,采用该方法比采用AR参数模型法获得的图像具有更高的距离分辨率。类似的,采用该方法来实现ISAR方位超分辨也同样获得了很好的效果。
Minimum entropy spectrum extrapolation techniq ue does not depend on any model. Entropy is used as a measure of signal resolution . The smaller entropy, the higher signal resolution is. The signal spectrum is e xtrapolated basing on the minimum entropy criteria to increase signal resolution . In this paper, this method is used to achieve range super-resolution in stepp ed-frequency radar. The simulation results of this method and the method based o n the AR model demonstrate the advantage of this method. Similarly, minimum entr opy spectrum extrapolation technique is used to achieve azimuth super-resolutio n in ISAR and good result is obtained.
出处
《现代雷达》
CSCD
北大核心
2005年第3期18-19,28,共3页
Modern Radar
关键词
最小熵
谱外推
步进频率雷达
分辨率
minimum entropy
spectrum extrapolation
step ped-frequency radar
resolution
