| 稀疏孔径和大转角下ISAR对目标转动的估计 |
| |
| 引用本文： | 陈杭,杨健,叶春茂.稀疏孔径和大转角下ISAR对目标转动的估计[J].电波科学学报,2019,34(1):70-75. |
| |
| 作者姓名： | 陈杭 杨健 叶春茂 |
| |
| 作者单位： | 清华大学电子工程系,北京,100084;北京无线电测量研究所,北京,100854 |
| |
| 基金项目： | 国家自然科学基金重大课题61490693 |
| |
| 摘 要： | 逆合成孔径雷达(inverse synthetic aperture radar, ISAR)对非合作目标做成像时图像质量依赖于对目标运动参数的准确估计.针对在稀疏孔径和非均匀转动条件下现存的参数估计方法计算量过大或者方法适用条件不满足,提出了一种基于神经网络的参数估计方法.此方法以成像问题的模型知识指导数据的生成过程,然后训练通用的神经网络,最终实现将数据中隐含的知识转化为转动估计器.从仿真实验结果来看,所得到的网络对满足一定信噪比要求的回波数据可以提供较准确的估计,所得参数可以帮助成像算法提高聚焦效果,大量的样例表明网络可以部分学习到回波与转动之间的关系.
|
| 关 键 词： | 逆合成孔径雷达 卷积神经网络 高分辨距离像 转角估计 卷积反投影 |
| 收稿时间： | 2018-08-27 |
Target rotation estimation for inverse synthetic aperture radar with sparse aperture and larger rotation angle |
| |
| CHEN Hang,YANG Jian,YE Chunmao.Target rotation estimation for inverse synthetic aperture radar with sparse aperture and larger rotation angle[J].Chinese Journal of Radio Science,2019,34(1):70-75. |
| |
| Authors: | CHEN Hang YANG Jian YE Chunmao |
| |
| Affiliation: | 1.Department of electronic engineering of Tsinghua University, Beijing 100084, China2.Beijing institute of radar measurement, Beijing 100854, China |
| |
| Abstract: | The success of inverse synthetic aperture radar (ISAR) imaging for non-cooperative target depends on accurate estimation of relative motion parameter, especially the rotation parameters. In sparse aperture and larger rotation angle configuration, the existing methods suffer too much computation or applicable condition violation. In this paper, a neural network based method is proposed to estimate the rotation parameters and it transforms the expertise hidden in the echo data generated based on the expert knowledge to the final estimator via the training process. The experimental results that the net can provide accurate estimation for echo data with appropriate SNR and the estimated parameters can help to improve the focus of imaging algorithm. Lots of examples have illustrated that the network can recognize the essential relation between the echo and the rotation motion partially. |
| |
| Keywords: | inverse synthetic aperture radar convolutional neural network high resolution range profile convolutional back projection |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《电波科学学报》浏览原始摘要信息 |
|
点击此处可从《电波科学学报》下载全文 |
|
