High Resolution Angle Parameter Estimation for Bistatic EMVS-MIMO Radar Based on a New Designed Array

被引:0
|
作者
Xie Qianpeng [1 ]
Pan Xiaoyi [1 ]
Chen Jiyuan [1 ]
Xiao Shunping [1 ]
机构
[1] Natl Univ Def Technol, State Key Lab Complex Electromagnet Environm Effe, Changsha 410073, Peoples R China
基金
中国国家自然科学基金;
关键词
Bistatic MIMO Radar; ElectroMagnetic Vector Sensors (EMVS); New designed array; Parallel factor algorithm; DOA ESTIMATION;
D O I
10.11999/JEIT200130
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:270 / 276
页数:7
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