Joint Super-Resolution and Array Interpolation for MIMO Radar Virtual Arrays

被引：0
|
作者：
Hott, Maurice [1 ]
Mietzner, Jan [2 ]
Lutz, Steffen [3 ]
Bockmair, Michael [3 ]
Hoeher, Peter A. [1 ]
机构：
[1] Christian Albrechts Univ Kiel, Chair Informat & Coding Theory, D-24143 Kiel, Germany
[2] Hamburg Univ Appl Sci, Fac Design Media & Informat, D-22081 Hamburg, Germany
[3] Hensoldt Sensors GmbH, D-89077 Ulm, Germany
来源：
2018 15TH EUROPEAN RADAR CONFERENCE (EURAD) | 2018年
关键词：
PARAMETERS;
D O I：
暂无
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：
Multiple-input multiple-output (MIMO) radars offer increased angular resolutions compared to conventional radars, based on a virtual enlargement of the physical antenna array by means of digital signal processing. In this paper, we show that the angular resolution of MIMO radars can be further increased by combining MIMO processing with an array extrapolation method based on Burg's algorithm. Moreover, we demonstrate that Burg's algorithm is also able to interpolate missing virtual antenna elements caused by failure of physical receive antennas. Measurements conducted with Hensoldt's compact 3D MIMO radar demonstrator serve as a basis to validate our findings.
引用
收藏
页码：126 / 129
页数：4
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