潘小义,
陈吉源,
肖顺平
国防科技大学电子信息系统复杂电磁环境效应国家重点实验室 长沙 410073
基金项目:国家自然科学基金(61701507, 61890542, 61890540)
详细信息
作者简介:谢前朋：男，1991年生，博士生，主要研究方向为阵列信号处理、雷达信号处理
潘小义：男，1986年生，讲师，主要研究方向为ISAR成像、雷达信号处理、电子对抗
陈吉源：男，1994年生，博士生，主要研究方向为ISAR成像、雷达信号处理
肖顺平：男，1964年生，教授，博士生导师，主要研究方向为雷达信号处理和电子对抗
通讯作者:谢前朋 13721038905@163.com
中图分类号:TN958计量
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被引次数:0
出版历程
收稿日期:2020-02-26
修回日期:2020-09-23
网络出版日期:2020-11-18
刊出日期:2021-02-23
High Resolution Angle Parameter Estimation for Bistatic EMVS-MIMO Radar Based on a New Designed Array
Qianpeng XIE,,Xiaoyi PAN,
Jiyuan CHEN,
Shunping XIAO
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China
Funds:The National Natural Science Foundation of China(61701507, 61890542, 61890540)
摘要
摘要:针对双基地EMVS-MIMO雷达角度参数估计问题，该文通过设计新的发射阵列和接收阵列来实现对双基地EMVS-MIMO雷达角度参数估计精度的提升。相比于半波长的均匀线性发射阵列和接收阵列，所设计的新型阵列能够实现发射端和接收端阵列孔径的扩展。并且，为了避免发射角和接收角的角度参数额外配对过程，该文利用平行因子算法来实现发射角和接收角的角度参数自动配对。同时，相应的发射方位角、发射俯仰角、发射极化角、发射极化相位差和接收方位角、接收俯仰角、接收极化角以及接收极化相位差也是自动配对的。通过利用平行因子算法多次迭代之后得到的方向加载矩阵，对应于发射角和接收角的精粗估计的旋转不变关系可以从方向加载矩阵中进行相应的提取。因此，高分辨的发射角和接收角可以通过精粗估计的结合来实现。相比于当前算法，所提算法具有自动参数配对特性以及较低的计算复杂度。仿真实验表明所提算法具有较高的估计精度。
关键词:双基地MIMO雷达/
电磁矢量传感器/
新型阵列/
平行因子算法
Abstract:A new transmit and receive array in bistatic ElectroMagnetic Vector Sensor Multiple-Input Multiple-Output (EMVS-MIMO) radar system is designed to improve the angle parameter estimation accuracy. Compared with the bistatic EMVS-MIMO radar equipped with half -wavelength spaced uniform linear arrays both in the transmitter and receiver, the new designed transmit and receive array can further enhance the array aperture. And, automatically paired angle parameter matching process for 2D DOD and 2D DOA can be obtained with the aid of the parallel factor trilinear alternating least square algorithm. Meanwhile, the corresponding elevation angle, azimuth angle, polarization angle and polarization phase difference both for transmitter and receiver are also automatically paired. Then, the loading matrices corresponding to transmit and receive array can be obtained by using the parallel factor trilinear alternating least square algorithm. And, high-accuracy and low-accuracy direction sine estimation can be determined by extracting the rotation invariance relationship from the obtained loading matrices. Thus, high resolution angle parameter estimation can be located by combining the high-accuracy estimated results and low-accuracy estimated results. Furthermore, the proposed method can provide automatically paired angle parameter matching process and lower computation complexity than state-of-the-art methods. Simulation results are carried out to verify the excellent angle parameter estimation performance of the proposed method.
Key words:Bistatic MIMO Radar/
ElectroMagnetic Vector Sensors (EMVS)/
New designed array/
Parallel factor algorithm
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https://jeit.ac.cn/article/exportPdf?id=079aef07-73e5-448c-af3e-31fd2fbc3348
