合成孔径雷达微动目标特征提取与参数估计研究进展

Research progress of micro-motion target feature extraction and estimation in synthetic aperture radar

摘要:

合成孔径雷达(synthetic aperture radar,SAR)探测区域中存在一类微动目标,深入研究SAR回波中的微动特征信息,可以获取反映目标结构、运动等信息的特征量,在战场侦察监视、目标识别、精确制导等领域具有重大意义。为此,介绍了SAR-微动目标指示(SAR-MMTI)的概念及其国内外研究历史,综述了对SAR微动目标的特征提取与参数估计方法的研究现状,指出在SAR微动目标的探测运用中仍然存在算法运算量大,抗杂波噪声能力弱,无法适应多微动目标、大微动目标和复合微动目标等问题,提出了解决问题的思路,给出了仿真结果并对SAR微动目标特征提取与参数估计的发展趋势进行了展望。

Abstract:

There is a class of micro-motion (MM) targets in the synthetic aperture radar (SAR) detection area. Deep study of the MM feature information of the SAR echo results in the collection of the structural features and motion features of MM targets becoming available. This is of great significance in the field of battlefield reconnaissance and surveillance, target identification, and precision guidance. This paper introduced the concept of SAR-micro-motion target indication(MMTI) and gave the research history of SAR-MMTI at home and abroad. Then, the feature extraction and parameter estimation method of MM target were reviewed. After that, this paper analyzed the main problems existing in the current research situation, and pointed out that there are still problems such as weak anti-clutter and anti-noise ability, large computational complexity and inability to adapt to multiple MM targets, large MM targets, and composite MM targets. Next, the solution to the problems and the simulation results were introduced. Finally, the development trend of micro-motion target feature extraction and estimation in SAR was predicted.