一种改进型全局最小熵ISAR距离对准算法  

Improved Global Minimum Entropy Range Alignment Algorithm for ISAR

作　　者：俞翔[1] 朱岱寅[1] 

机构地区：[1]南京航空航天大学电子信息工程学院,南京210016

出　　处：《数据采集与处理》2012年第5期535-540,共6页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61071165)资助项目;国防基础科研计划(B2520110008)资助项目;教育部新世纪优秀人才支持计划(NCET-09-0069)资助项目;航空科学基金(20102052024)资助项目

摘　　要：在研究全局最小熵距离对准算法的基础上,结合了亚距离单元对准方法,并通过分析回波相关性对原算法的影响,提出了一种改进型全局最小熵算法。该算法可分为距离像分块对准和亚距离单元对准两部分。本文通过对回波相关性的分析,利用距离像分块对准改善了原算法距离对准的准确性;并通过亚距离单元对准提高了原算法距离对准的精度。实测数据处理结果表明,改进型算法具有较高的距离对准精度,从而提高了成像质量。Range alignment is a key procedure in inverse synthetic aperture radar（ISAR） imaging.Based on the global minimum entropy range alignment algorithm,an improved range alignment algorithm is proposed according to the subinteger range-bin method by analyzing the influence of correlation between echoes on the original algorithm.Range profile blocking scheme and subinteger range-bin alignment method are applied to the proposed algorithm.Range profile blocking scheme and subinteger range-bin alignment method improve the accuracy and the precision of the original algorithm,respectively.The real data processing result shows that the algorithm improves the accuracy of range alignment and hence improves the imaging quality of ISAR.

关 键 词：距离对准 亚距离单元 分块 对准精度 

分 类 号：TN958[电子电信—信号与信息处理]