上行3D-MIMO中利用結(jié)構(gòu)稀疏低秩特性的信道估計(jì)算法

劉凱; 馮輝; 楊濤; 胡波

doi:10.11999/JEIT170399

上行3D-MIMO中利用結(jié)構(gòu)稀疏低秩特性的信道估計(jì)算法

doi: 10.11999/JEIT170399

劉凱¹,
馮輝¹,
楊濤¹,
胡波¹

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61501124)

計(jì)量
- 文章訪問(wèn)數(shù): 1472
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- PDF下載量: 185
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-05-02
- 修回日期: 2017-09-27
- 刊出日期: 2018-01-19

Structured Sparse and Low Rank Channel Estimation in Uplink 3D-MIMO

Funds:

The National Natural Science Foundation of China (61501124)

摘要

摘要: 3維多輸入多輸出(3D-MIMO)系統(tǒng)能有效提升頻譜效率，提高系統(tǒng)容量。但用戶(hù)數(shù)和天線數(shù)的劇增，無(wú)法保證所有用戶(hù)的導(dǎo)頻都正交，給3D-MIMO信道估計(jì)帶來(lái)估計(jì)精度下降和復(fù)雜度增加等問(wèn)題。該文分析了上行3D-MIMO系統(tǒng)信道的結(jié)構(gòu)稀疏特性和低秩特性，并基于這些特性提出一種信道估計(jì)算法，給出了算法的收斂性和復(fù)雜度。仿真結(jié)果表明估計(jì)算法能準(zhǔn)確地恢復(fù)3D-MIMO的信道系數(shù)，并有較低的復(fù)雜度。
- 信道估計(jì) /
- 3D-MIMO /
- 結(jié)構(gòu)稀疏 /
- 低秩 /
- 匹配追蹤
Abstract: Three Dimension Multi-Input Multi-Output (3D-MIMO) systems can effectively improve frequency efficiency and system capacity. However, with the growing number of antennas and users, pilot sequences are non- orthogonal, which will affect the accuracy of 3D-MIMO channel estimation and increase complexity. In this paper, the structured sparseness and low rank property of 3D-MIMO channel are studied. By taking advantage of these properties, a channel estimation algorithm is proposed, and the convergence and complexity of the algorithm are analyzed. Simulation results verify that the proposed algorithm can accurately recover 3D-MIMO channel with low complexity.
- Channel estimation /
- 3D-MIMO /
- Structured sparseness /
- Low rank /
- Matching pursuit

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參考文獻(xiàn)(20)

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