TENSOR-BASED ESTIMATION OF MMWAVE MIMO CHANNELS WITH CARRIER FREQUENCY OFFSET

被引：0
作者：
Ribeiro, Lucas N. [1 ]
de Almeida, Andre L. F. [1 ]
Myers, Nitin J. [2 ]
Heath, Robert W., Jr. [2 ]
机构：
[1] Univ Fed Ceara, Wireless Telecom Res Grp GTEL, Fortaleza, Ceara, Brazil
[2] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2019年
基金：
美国国家科学基金会;
关键词：
MmWave; MIMO; tensor; compressed sensing; channel estimation; DECOMPOSITION;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Millimeter wave multiple-input-multiple-output (MIMO) achieves the best performance when reliable channel state information is used to design the beams. Most channel estimation methods proposed in the literature, however, ignore practical hardware impairments such as carrier frequency offset (CFO) and may fail under such impairment. In this paper, we present a joint CFO and channel estimation method based on tensor modeling and compressed sensing. Simulation results indicate that the proposed method yields better channel recovery performance than the benchmark and that it is more robust to a small number of channel measurements.
引用
收藏
页码：4155 / 4159
页数：5
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