Method of super resolution imaging for ISAR based on estimation theory

被引：0

作者：

Chen, A-Lei ^{[1
]}

Wang, Dang-Wei ^{[2
]}

Ma, Xiao-Yan ^{[2
]}

Su, Yi ^{[3
]}

机构：

[1] Dept. of Graduate Management, Air Force Radar Academy, Wuhan 430019, China

[2] Dept. of Air/Space-based Early Warning Surveillance Equipment, Air Force Radar Academy, Wuhan 430019, China

[3] School of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2010年 / 32卷 / 04期

关键词：

Estimation theory - High-resolution imaging - Inverse synthetic aperture radars (ISAR) - Least mean squares - Matched filtering - Minimum mean square estimation - Spectrum estimation - Super resolution imaging;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Aiming at the difficult problem that the mainlobe resolution compressed by matched filtering changes with the range between equivalent array and radar when the length of the synthetic aperture is given, a new method of super resolution imaging based on least-mean-square estimation theory is proposed, which is based on the theory of linear systems and the equivalent model of target's echo signals in azimuth. Different from the traditional super resolution imaging method which is based on spectrum estimation, this one uses the estimated signal of the target's impulse response system in azimuth, and as a result it can completely eliminate the impact of the range between equivalent array and radar on the resolution in azimuth. Simulation experiment proves the effectiveness of the method.

引用

页码：740 / 744

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