逆合成孔径雷达包络对齐性能评估及改进  被引量:2

Evaluation and Improvement of Envelope Alignment Performance of Inverse Synthetic Aperture Radar

在线阅读下载全文

作  者:刘崇威 丁义明 邹正雨 LIU Chongwei;DING Yiming;ZOU Zhengyu(Center for Mathematical Science,Wuhan University of Technology,Wuhan 430070;Aerospace Nauhu Electronic Information Technology Co.,Ltd,Wuhan 430074)

机构地区:[1]武汉理工大学数学科学研究中心,武汉430070 [2]航天南湖电子信息股份有限公司,武汉430074

出  处:《系统科学与数学》2022年第8期1946-1959,共14页Journal of Systems Science and Mathematical Sciences

基  金:国家重点研发计划(2020YFA0714200)资助课题.

摘  要:包络对齐是逆合成孔径雷达(Inverse Synthetic Aperture Radar,ISAR)运动补偿的第一步,包络对齐的性能直接影响到ISAR系统后续初相校正以及方位压缩的准确性.为准确评估包络对齐的性能,文章提出一种基于偏移量残差序列的性能评估方法.该方法通过计算偏移量残差序列的L_(1)范数之和与非平稳性度量作为评估指标,分析评判各包络对齐方法的性能.实验结果表明,该评估方案真实有效.此外,为解决低信噪比情况下传统方法效果降低的问题,文章还提出了一种新的基于相邻包络差序列NS的包络对齐准则.实验验证该方法在噪声较大时相比原方法有一定改善.Envelope alignment is the first step of ISAR motion compensation.The performance of envelope alignment directly affects the accuracy of subsequent initial phase correction and azimuth compression of the ISAR system.To accurately evaluate the performance of envelope alignment,this paper proposes a performance evaluation method based on the offset residual sequence.This method analyzes and evaluates the performance of each envelope alignment method by calculating the sum of L_(1) norm and non-stationarity measure of the offset residual sequence as evaluation indicators.The experimental results show that the evaluation scheme is real and effective.In addition,in order to solve the problem that the effect of traditional methods is reduced in the case of low signal-to-noise ratio,this paper also proposes a new envelope alignment criterion based on the adjacent envelope difference sequence NS.Experiments show that this method has a certain improvement compared with the original method when the noise is large.

关 键 词:逆合成孔径雷达 非平稳性度量 包络对齐 低信噪比 

分 类 号:TN957.52[电子电信—信号与信息处理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象