基于IR的部分相干信道估计算法

李贵勇; 李平安; 李贺宾

doi:10.13756/j.gtxyj.2021.04.003

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基于IR的部分相干信道估计算法

光通信系统与网络技术

- 基于IR的部分相干信道估计算法
- Partially Coherent Channel Estimation Algorithm based on IR
- 光通信研究 2021年第4期页码：10-14
- 作者机构：
  
  重庆邮电大学　通信与信息工程学院，重庆　400065
- 作者简介：
  
  李贵勇（1971-），男，重庆人。正高级工程师，硕士，主要研究方向为移动通信技术。
  李平安（1997-），硕士。E-mail：2802873812@qq.com
- 基金信息：
  
  国家科技重大专项资助项目(2017ZX03001021)
- DOI：10.13756/j.gtxyj.2021.04.003
  中图分类号： TN929.5
- 纸质出版日期：2021-08-10，
  
  收稿日期：2020-11-24，
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李贵勇, 李平安, 李贺宾. 基于IR的部分相干信道估计算法[J]. 光通信研究, 2021,(4):10-14.

LI Gui-yong, LI Ping-an, LI He-bin. Partially Coherent Channel Estimation Algorithm based on IR[J]. Study on Optical Communications, 2021,(4):10-14.
李贵勇, 李平安, 李贺宾. 基于IR的部分相干信道估计算法[J]. 光通信研究, 2021,(4):10-14. DOI： 10.13756/j.gtxyj.2021.04.003.

LI Gui-yong, LI Ping-an, LI He-bin. Partially Coherent Channel Estimation Algorithm based on IR[J]. Study on Optical Communications, 2021,(4):10-14. DOI： 10.13756/j.gtxyj.2021.04.003.

摘要

对于具有混合预编码的毫米波大规模多输入多输出（MIMO）系统，由于系统中硬件的缺陷会在接收的导频中引入随机相位偏移，这将使得传统信道估计算法的性能变得非常差，甚至不能估计出信道信息。为了解决这个问题，文章利用来自不同射频链的导频，在同一时间段内具有相同的相位偏移，而在不同时间段具有不同的相位偏移的特性，提出了基于迭代重加权（IR）的部分相干压缩相位提取（PC-CPR）（IR-PC-CPR）算法。该算法首先对接收的相干导频做相位偏移补偿，然后再使用IR算法估计信道参数来实现高精度的信道估计。仿真结果表明，文章所提算法与PC-CPR算法相比具有更好的性能。

Abstract

For millimeter-wave large-scale Multiple-Input Multiple-Output (MIMO) systems with hybrid precoding

due to the hardware defects in the system

random phase shifts will be introduced in the received pilots

which will make the performance of traditional channel estimation algorithms become very poor. In some extreme conditions

even the channel information cannot be estimated. In order to solve this problem

this paper uses pilots from different radio frequency chains to have the same phase offset in the same time period

and pilots in different time periods have different phase offset characteristics to estimate the channel information with an Iterative Reweight (IR) based Partially Coherent-Compressive Phase Retrieval (PC-CPR) (IR-PC-CPR) algorithm. The algorithm first performs phase offset compensation on the received coherent pilots

and then uses an iterative reweight (IR) algorithm to estimate channel parameters to achieve high-precision channel estimation. The simulation results show that the algorithm proposed in this paper has better performance than the PC-CPR algorithm.

关键词

毫米波混合预编码压缩相位提取迭代重加权

Keywords

millimeter wavehybrid precodingCPRIR

references

Larsson E G, Edfors O, Tufvesson F, et al. Massive MIMO for Next Generation Wireless Systems[J]. IEEE Communications Magazine, 2014, 52(2): 186-195.

Gao X, Dai L, Sayeed A M. Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications[J]. IEEE Communications Magazine, 2018, 56(4): 211-217.

Alkhateeb A, Ayach O E, Leus G, et al. Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 831-846.

Dai L, Wang Z, Yang Z. Spectrally Efficient Time-Frequency Training OFDM for Mobile Large-Scale MIMO Systems[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(2): 251-263.

Hur S, Kim T, Love D, et al. Millimeter Wave Beamforming for Wireless Backhaul and Access in Small Cell Networks[J]. IEEE Transactions on Communications, 2013, 61(10): 4391-4403.

Alkhateeb A, Leus G, Heath R W. Compressed Sensing based Multi-User Millimeter Wave Systems: How Many Measurements are Needed?[C]//2015 IEEE International Conference on Acoustics, Speech and Signal Processing. South Brisbane, QLD, Australia: IEEE, 2015: 7178503.

Marzi Z, Ramasamy D, Madhow U. Compressive Channel Estimation and Tracking for Large Arrays in mm-Wave Picocells[J]. IEEE Journal of Selected Topics in Signal Processing, 2016, 10(3): 514-527.

Liu A, Lau V K N, Honig M L. Compressive RF Training for Massive MIMO with Channel Support Side Information[J]. IEEE Transactions on Wireless Communications, 2019, 18(7): 3628-3641.

Lee J, Gil G T, Lee Y H. Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications[J]. IEEE Transactions on Communications, 2016, 64(6): 2370-2386.

Liao A, Gao Z, Wang H, et al. Closed-Loop Sparse Channel Estimation for Wideband Millimeter-Wave Full-Dimensional MIMO Systems[J]. IEEE Transactions on Communications, 2019, 67(12): 8329-8345.

Myers N J, Heath R W. A Compressive Channel Estimation Technique Robust to Synchronization Impairments[C]//2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications(SPAWC). Sapporo, Japan: IEEE, 2017: 8227747.

Abari O, Hassanieh H, Rodriguez M, et al. Millimeter Wave Communications: From Point-to-Point Links to Agile Network Connections[C]//Acm Workshop on Hot Topics in Networks. Atlanta, GA, USA: ACM, 2017: 169-175.

Rodriguez-Fernandez J, Gonzalez-Prelcic N, Heath R W. Channel Estimation for Millimeter Wave MIMO Systems in the Presence of CFO Uncertainties[C]//2018 IEEE International Conference on Communications(ICC). Kansas City, MO, USA: IEEE, 2018: 8422342.

Myers N J, Heath R W. Message Passing-based Joint CFO and Channel Estimation in mmWave Systems with One-bit ADCs[J]. IEEE Transactions on Wireless Communications, 2019, 18(6): 3064-3077.

Hu C, Wang X, Dai L, et al. Partially Coherent Compressive Phase Retrieval for Millimeter-Wave Massive MIMO Channel Estimation[J]. IEEE Transactions on Signal Processing, 2020, 68: 1673-1687.

Candes E J, Li X, Soltanolkotabi M. Phase Retrieval via Wirtinger Flow: Theory and Algorithms[J]. IEEE Transactions on Information Theory, 2014, 61(4): 2399924.

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