谢意远^{1, 2},
高悦欣³,
邢孟道^{1, 2,,},
郭亮⁴,
孙光才^{1, 2}
1.西安电子科技大学雷达信号处理国家重点实验室 西安 710071
2.西安电子科技大学信息感知技术协同创新中心 西安 710071
3.西安电子科技大学空间科学与技术学院 西安 710071
4.西安电子科技大学物理与光电工程学院 西安 710071
基金项目:国家自然科学基金****基金(61825105)，国家重点研发计划(2018YFA0701903)，国家自然科学基金(61901346)

详细信息

作者简介:谢意远：女，1996年生，博士生，研究方向为电磁特征提取
高悦欣：男，1985年生，博士，研究方向为逆合成孔径成像
邢孟道：男，1975年生，教授，博士生导师，研究方向为雷达成像、目标检测识别
郭亮：男，1983年生，博士，教授，研究方向为激光雷达，合成孔径成像
孙光才：男，1984年生，副教授，研究方向为多通道波束指向SAR成像、SAR动目标成像

通讯作者:邢孟道　xmd@xidian.edu.cn

中图分类号:TN957.52

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出版历程

收稿日期:2020-04-28
修回日期:2020-09-20
网络出版日期:2020-09-23
刊出日期:2021-03-22

A Decoupling and Dimension Dividing Multi-parameter Estimation Method for Cross-band SAR Scattering Centers

Yiyuan XIE^{1, 2},
Yuexin GAO³,
Mengdao XING^{1, 2,,},
Liang GUO⁴,
Guangcai SUN^{1, 2}
1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2. Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an 710071, China
3. School of Aerospace Science and Technology, Xidian University, Xi’an 710071, China
4. School of Physics and Optoelectronic Engineering, Xidian University, Xi’an 710071, China
Funds:The National Science Fund for Distinguished Young Scholars (61825105), The National Key R&D Program of China (2018YFA0701903), The National Natural Science Foundation of China (61901346)


摘要
摘要:微波光子雷达发射大带宽跨谱段的信号，为目标的精细电磁特性描述和准确识别提供基础的同时，也亟需与之相应的大带宽大转角情况下的电磁模型参数提取方法。相比窄带条件，跨谱段信号数据量大，所含物理量信息维度高且复杂，大转角情况下距离和方位向耦合。该文提出跨谱段SAR散射中心多维参数解耦和估计方法，首先结合极坐标格式算法(PFA)和属性散射中心模型构造2维解耦波数域散射中心模型，再结合坐标下降法(CDA)将复杂的高维耦合参数估计方法简化为循环迭代的1维参数估计方法，有效降低字典维度和估计复杂度，并引入Hooke-Jeeves算法提高估计精度。最后根据各个散射中心的参数估计结果对它们的结构和位置进行识别，对仿真数据的处理实验验证了该文方法的有效性。
关键词:跨谱段雷达成像/
属性散射中心模型/
解耦/
参数估计/
坐标下降法
Abstract:Microwave photonics radar generates cross-band signals with large bandwidth, providing a basis for precise electromagnetic characteristics description and accurate identification of targets. Meanwhile, a corresponding electromagnetic model parameter extraction method is urgently required in the case of large-bandwidth and wide-angle. For the same scene, the amount of return signals will increase considerably in cross-band condition comparing with narrow-bandwidth condition. Furthermore, the signals under cross-band condition may exhibit complex range-azimuth coupling. Under such a condition, it is of difficulty to estimate high dimensional physical parameters of scattering centers in the scene from return signals. To solve this problem, a multi-parameter estimation of cross-band SAR scattering centers method is proposed. The Polar Format Algorithm (PFA) and the attributed scattering center model are combined to construct a two-dimensional decoupled wavenumber domain model. With this scattering model, the estimation procedure is transformed into an optimization problem with multiple variables. This complex multi-variable optimization problem is divided into a set of single variable optimization problems by using the Coordinate Descent Algorithm (CDA). The separation effectively reduces dictionary dimensions and estimation complexity. Moreover, the Hooke-Jeeves algorithm is introduced to enhance estimation accuracy in each single variable optimization problem. Consequently, the proposed estimator for scattering parameters is not only efficient, but also accurate. The structure and location of each scattering center can be identified according to the parameter estimation results. Simulation results confirm the validity of the proposed method.
Key words:Cross-band radar imaging/
Attributed scattering center/
Decoupling/
Parameter estimation/
Coordinate Descend Algorithm (CDA)



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