CHANNEL ESTIMATION FOR HYBRID MULTI-CARRIER MMWAVE MIMO SYSTEMS USING THREE-DIMENSIONAL UNITARY ESPRIT IN DFT BEAMSPACE

被引：0
|
作者：
Zhang, Jianshu [1 ]
Haardt, Martin [1 ]
机构：
[1] Ilmenau Univ Technol, Commun Res Lab, Ilmenau, Germany
来源：
2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP) | 2017年
关键词：
MmWave Massive MIMO; hybrid precoding and decoding; tensor; Unitary ESPRIT in DFT beamspace;
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：
in this paper we study the channel estimation problem for a CP-OFDM based mmWave hybrid analog-digital MIMO system, where the analog processing is achieved using only phase shift networks. A two-stage three-dimensional (3-D) Unitary ESPRIT in DFT beamspace based channel estimation algorithm is proposed to estimate the angular-delay profile and subsequently the unknown Frequency-selective channel. The required training protocol, analog precoding and decoding matrices, as well as pilot patterns are discussed. Simulation results show that the proposed multi-stage 3-D Unitary ESPRIT in DFT beamspace based channel estimation algorithm provides high resolution channel estimates.
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页数：5
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