MILLIMETER WAVE COMMUNICATIONS CHANNEL ESTIMATION VIA BAYESIAN GROUP SPARSE RECOVERY

被引：0

作者：

Suryaprakash, Raj Tejas ^{[1
,2
]}

Pajovic, Milutin ^{[2
]}

Kim, Kyeong Jin ^{[2
]}

Orlik, Phil ^{[2
]}

机构：

[1] Univ Michigan, Elect Engn & Comp Sci, Ann Arbor, MI 48105 USA

[2] Mitsubishi Elect Res Labs, Cambridge, MA USA

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS | 2016年

关键词：

Bayesian sparse recovery; structured sparsity; mmWave; channel estimation; MULTIPATH ANGULAR SPREAD; SIGNAL RECOVERY;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We consider the problem of channel estimation for millimeter wave communications (mmWave). We formulate channel estimation as a structured sparse signal recovery problem, in which the signal structure is governed by a priori knowledge of the channel characteristics. We develop a Bayesian group sparse recovery algorithm which takes into account for several features unique to mmWave channels, such as spatial (angular) spreads of received signals and power profile of rays impinging on the receiver array. We validate the developed method via numerical simulations and demonstrate an improved estimation performance relative to the existing methods.

引用

页码：3406 / 3410

页数：5

共 50 条

[1] Greedy Sparse Channel Estimation for Millimeter Wave Communications
Lim, Sun Hong
Choi, Jun Won
Shim, Byonghyo
[J]. PROCEEDINGS OF TENCON 2018 - 2018 IEEE REGION 10 CONFERENCE, 2018, : 1628 - 1632
[2] Sparse Channel Estimation in Millimeter-Wave Communications via Parameter Perturbed OMP
Gurbuz, Ali Cafer
Yapici, Yavuz
Guvenc, Ismail
[J]. 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2018,
[3] Sparse Bayesian Estimation of Millimeter-Wave Channel Correlation Matrix
Pajovic, Milutin
Wang, Pu
Koike-Akino, Toshiaki
Orlik, Philip V.
[J]. 2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019), 2019,
[4] Channel Estimation and Precoder Design for Millimeter-Wave Communications: The Sparse Way
Schniter, Philip
Sayeed, Akbar
[J]. CONFERENCE RECORD OF THE 2014 FORTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2014, : 273 - 277
[5] Millimeter Wave Channel Estimation Based on Clustering Block Sparse Bayesian Learning
Liu, Jiawen
Li, Xiaohui
Fang, Kun
Fan, Tao
[J]. 2019 11TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2019,
[6] Efficient Beam Training and Sparse Channel Estimation for Millimeter Wave Communications Under Mobility
Lim, Sun Hong
Kim, Sunwoo
Shim, Byonghyo
Choi, Jun Won
[J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (10) : 6583 - 6596
[7] Channel estimation for underwater acoustic OFDM communications via temporal sparse Bayesian learning
Feng, Xiao
Wang, Junfeng
Sun, Haixin
Qi, Jie
Qasem, Zeyad A. H.
Cui, Yue
[J]. SIGNAL PROCESSING, 2023, 207
[8] Sparse Bayesian Learning-based Channel Estimation in Millimeter Wave Hybrid MIMO Systems
Mishra, Amrita
Rajoriya, Anupama
Jagannatham, Aditya K.
Ascheid, Gerd
[J]. 2017 IEEE 18TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2017,
[9] Bayesian Learning based Millimeter-Wave Sparse Channel Estimation with Hybrid Antenna Arrays
Aminu, Mubarak Umar
Codreanu, Marian
Juntti, Markku
[J]. 2018 IEEE 19TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2018, : 381 - 385
[10] Sparse Channel Estimation in Millimeter Wave Communications: Exploiting Joint AoD-AoA Angular Spread
Wang, Pu
Pajovic, Milutin
Orlik, Philip V.
Koike-Akino, Toshiaki
Kim, Kyeong Jin
Fang, Jun
[J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,

← 1 2 3 4 5 →