Massive MIMO Radar based Burden Surface Imaging: How mm-Wave Integrated Circuits Enable Optimization of Blast Furnace Charging

被引:2
|
作者
Schuster, S. [1 ]
Zankl, D. [2 ]
Scheiblhofer, S. [1 ]
Feilmayr, C. [1 ]
Reisinger, Johann [1 ]
Feger, R. [3 ]
Stelzer, A. [3 ]
Schmid, C. [4 ]
机构
[1] Voestalpine Stahl GmbH, Voestalpine Str 3, A-4020 Linz, Austria
[2] Voestalpine Stahl GmbH, Voestalpine Str, Linz, Austria
[3] Inst Comm & RF Syst Linz, Altenbergerstr 69, A-4040 Linz, Austria
[4] Infineon Technol Linz, Freistadterstr 400, A-4040 Linz, Austria
来源
2020 IEEE MTT-S INTERNATIONAL CONFERENCE ON MICROWAVES FOR INTELLIGENT MOBILITY (ICMIM) | 2020年
关键词
blast furnace; array signal processing; autocalibration; massive MIMO; radar imaging; FMCW RADAR; INDUSTRY; SYSTEM; STEEL;
D O I
10.1109/icmim48759.2020.9299056
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
In the last decade there was enormous progress in integrated mm-wave integrated circuit design, targeting primarily mobility applications like automated driving [1], [2]. It is shown in this paper how this progress, paired with advanced signal processing and the enormous increase of available processing power, enables successful implementation of completely different, yet spectacular, applications. The evolution of designs of massive multiple-input multiple-output imaging radars in combination with the associated real-time signal processing and in-line autocalibration for analyzing the burden surface in blast furnaces, the BLASTDAR system, is presented. BLASTDAR systems now operate in all five voestalpine blast furnaces for several years.
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页数:4
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