邢孟道1,2,,,
徐丹1,2,,
王安乐3,
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.空军预警学院? ?武汉? ?430019
基金项目:国家****自然基金(61825105)
详细信息
作者简介:符吉祥(1992–)，男，安徽蚌埠人，博士生，研究方向为ISAR运动补偿和成像。E-mail: jixiang_xd@126.com
邢孟道(1975–)，男，浙江绍兴人，博士，教授，西安电子科技大学前沿交叉研究院副院长，研究方向为雷达成像、动目标检测、目标识别。E-mail: xmd@xidian.edu.cn
徐丹：徐 ? 丹(1990–)，女，陕西咸阳人，博士生，研究方向为3维ISAR图像重构、电磁成像。 E-mail: 1045759961@qq.com
王安乐(1988–)，男，山东临沂人，博士，中国人民解放军空军预警学院讲师，研究方向为微波光子雷达、光生微波基准信号等。E-mail: anlehit@163.com
通讯作者:邢孟道? xmd@xidian.edu.cn
中图分类号:TN957计量
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被引次数:0
出版历程
收稿日期:2019-01-02
修回日期:2019-03-16
网络出版日期:2019-04-12
Vibration-parameters Estimation Method for Airplane Wings Based on Microwave-photonics Ultrahigh-resolution Radar
FU Jixiang1,2,,XING Mengdao1,2,,,
XU Dan1,2,,
WANG Anle3,
①. National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
②. Collaborative Innovation Center of Information Sensing and Understand, Xidian University, Xi’an 710071, China
③. Air Force Early Warning Academy, Wuhan 430019, China
Funds:The National Science Fund for Distinguished Young Scholars (61825105)
More Information
Corresponding author:XING Mengdao, xmd@xidian.edu.cn
摘要
摘要:机翼在飞机运动不平稳状态下存在振动，在微波光子超高分辨雷达观测下，这种振动会造成机翼难以聚焦，针对这一难题，该文提出一种基于微波光子超高分辨雷达的机翼振动参数估计方法。首先通过粗成像将机身和机翼回波进行分离，再通过对机身成像和定标结果估计雷达视线角(LOS)。然后对机翼进行子孔径序列成像，提取散射点的距离和多普勒变化曲线，再联合雷达LOS以及距离和多普勒曲线对振动参数进行粗估计，最后通过修正的极坐标格式算法(MPFA)以及构造最小熵优化函数对振动参数进行精估计。该文首次提出了修正的极坐标格式算法，其能够对复杂运动的目标进行距离和方位向的解耦，如震动的机翼和摇摆的舰船等。仿真和实测数据的处理结果验证了该方法的有效性和实用性。
关键词:振动/
子孔径/
修正的极坐标格式算法/
最小熵/
优化
Abstract:The wings of an airplane vibrate when it is nonstationary. When an airplane is observed using a microwave photonics-based ultrahigh-resolution radar, and this vibration will cause defocusing of the wings. To address this problem, we propose a vibration-parameter estimation method for airplane wings based on microwave-photonics ultrahigh-resolution radar. In this method, we first coarsely separate images of the wings and body of the airplane, and estimate the Light-Of-Sight (LOS) of the radar from a focused and scaled image of the airplane body. Next, we apply sub-aperture imaging to the wings and extract the range and Doppler curves from a sequence of sub-aperture images. By combining the range and Doppler curves with the LOS, we can obtain a preliminary estimation of the vibration parameters. Finally, by Modifying the Polar Format Algorithm (MPFA) and constructing an optimization function that minimizes image entropy, we can obtain accurate vibration parameters. This novel modified polar format algorithm can be applied to complex motion targets, such as an airplane with vibrating wings, swinging ships to effectively decouple range and cross-range dimensional coupling. Experimental results using both simulated and measured data confirm the validity and practicality of the proposed algorithm.
Key words:Vibration/
Sub-aperture/
Modified Polar Format Algorithm (MPFA)/
Entropy minimization/
Optimization
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