多子阵SAS方位空变运动补偿子孔径算法
Sub-aperture algorithm for multiple-subarry SAS azimuth-variant motion compensation
田振 1张森 1庞立伟 2唐劲松1
作者信息
- 1. 海军工程大学电子工程学院,湖北武汉 430033
- 2. 海军工程大学研究生院,湖北武汉 430033
- 折叠
摘要
为解决方位空变的侧摆和偏航误差存在情形下合成孔径声纳的快速运动补偿与成像问题,提出一种多子阵合成孔径声纳方位空变运动补偿子孔径算法.首先,建立运动误差存在情形下的双程距离历程模型,并利用泰勒级数展开对双根号形式距离历程进行近似;然后,利用子孔径运动补偿和单基等效处理,将含有方位空变的侧摆和偏航误差的多子阵回波数据转换为理想的单阵回波数据;最后,利用经典的单阵频域逐线成像算法,实现快速运动补偿和高分辨成像.仿真实验与实测数据成像结果均验证了所提算法的有效性.
Abstract
In order to resolve the issues of rapid motion compensation(MOCO)and imaging for synthetic aperture sonar(SAS)with the azimuth-variant sway and yaw errors,a sub-aperture algorithm is proposed for multiple-subarry SAS azimuth-variant MOCO.Firstly,a round-trip range history model with the motion errors is established,and then the double square root form range history is approximated by the method of Taylor series expansion.Secondly,the sub-aperture MOCO and monostatic equivalent processing are presented to convert the multiple-subarry echo wave data with the azimuth-variant sway and yaw errors to the ideal monostatic data.Finally,conventional monostatic frequency domain line-by-line imaging algorithms are used to realize the rapid MOCO and high-resolution imaging.The results of simulations and real data imaging demonstrate the effectiveness of the proposed algorithm.
关键词
运动补偿/合成孔径声纳/子孔径算法/成像算法/方位空变Key words
motion compensation(MOCO)/synthetic aperture sonar(SAS)/sub-aperture algorithm/imaging algorithm/azimuth-variant引用本文复制引用
基金项目
国家自然科学基金(61901503)
国家自然科学基金(41974001)
出版年
2024
NETL
NSTL
万方数据