双向MIMO中继系统中一种低复杂度的联合信道估计方法

杜建和; 花妍; 林和昀; 田沛

doi:10.11999/JEIT170463

双向MIMO中继系统中一种低复杂度的联合信道估计方法

doi: 10.11999/JEIT170463

1.
(中国传媒大学信息工程学院北京 100024)
2.
(北京邮电大学信息与通信工程学院北京 100876)

基金项目:

国家自然科学基金(61601414, 61561037)，国家高技术研究发展计划(2015AA01A705, 2014AA01A701)

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- 文章访问数: 1240
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- 被引次数: 0
出版历程
- 收稿日期: 2017-05-16
- 修回日期: 2017-09-16
- 刊出日期: 2017-12-19

A Low-complexity Algorithm for Joint Channel Estimation in Two-way MIMO Relay Communication Systems

1.
(School of Information and Engineering, Communication University of China, Beijing 100024, China)
2.
(School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)

Funds:

The National Natural Science Foundation of China (61601414, 61561037), The National High Technology Research and Development Program of China (2015AA01A705, 2014AA01A701)

摘要

摘要: 对于双向多输入多输出(MIMO)中继系统，如何在减少中继负担的情况下获得精确的信道状态信息(CSI)成为信道估计的一个难点。该文针对双向MIMO中继系统，提出一种低复杂度的联合信道估计方法。所提方法在两个用户端同时发送正交信道训练信号至中继，中继采用所设计的放大因子放大所接收的信号并转发至两个用户。每个用户对所接收的信号构造平行因子(PARAFAC)模型，并根据实际系统要求，分别设计了迭代和非迭代的两种拟合算法对PARAFAC模型进行拟合，从而联合估计出所有信道的CSI。所提信道估计方法无需在中继处进行信道估计，减轻了中继的负担。与已有信道估计方法相比，所提方法设计灵活，采用的拟合算法具有较低的复杂度，而且在使用较少信道训练信号的情况下具有较高的信道估计精度。
- 双向MIMO中继 /
- 低复杂度 /
- 信道状态信息 /
- 平行因子
Abstract: For two-way Multiple-Input Multiple-Output (MIMO) relay communication systems, the main challenge is to get full knowledge of all channel matrices with minimal cost of signal handling at the relay node. In this paper, a low-complexity joint channel estimation scheme for two-way MIMO relay communication systems is proposed. Both users transmit orthogonal channel training signals to the relay node simultaneously. Then the relay amplifies the received signals by using designed amplification factors, and forwards the amplified signals to both users. The received signals at each user is formulated as a PARAllel FACtor (PARAFAC) model, and then the iterative and non-iterative fitting algorithms are derived to estimate the Channel State Information (CSI) knowledge of all links involved. Compared with existing schemes, the proposed scheme has the advantages of design flexibility and low complexity, and has higher estimation accuracy with a few number of channel training signals.
- Two-way MIMO relay /
- Low-complexity /
- Channel State Information (CSI) /
- Parallel factor

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