期刊：
Wireless Personal Communications,2019年105(1):257-266 ISSN：0929-6212
通讯作者：
Lu, Wei
作者机构：
[Lu, Wei; Fang, Qiqing; Wang, Yongliang] Air Force Early Warning Acad, Wuhan, Hubei, Peoples R China.;[Peng, Shixin] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构：
[Lu, Wei] A;Air Force Early Warning Acad, Wuhan, Hubei, Peoples R China.
摘要：
In this letter a weighted iteratively reweighted least-square (IRLS) algorithm is proposed for FDD massive MIMO channel estimation. The priori support information is merged into the weighted IRLS to improve the recovery performance. The priori support information is obtained from the uplink channel by reciprocity in angle domain, and a support estimation algorithm is proposed from the analysis of basis mismatch and angle deviation between uplink and downlink which is more practical in the real scenario. A brief convergence analysis of weighted IRLS is given out. Simulations show that the proposed weighted IRLS outperforms the standard IRLS, subspace pursuit (SP) and weighted SP.
作者机构：
[Lu, Wei; Wen, Xiaoqiao; Wang, Yongliang] Air Force Early Warning Acad, Wuhan 430072, Hubei, Peoples R China.;[Hua, Xiaoqiang] Natl Univ Def Technol, Changsha 410073, Hunan, Peoples R China.;[Peng, Shixin] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.;[Zhong, Liang] China Univ Geosci, Dept Commun Syst, Wuhan 430074, Hubei, Peoples R China.
通讯机构：
[Lu, Wei] A;Air Force Early Warning Acad, Wuhan 430072, Hubei, Peoples R China.
作者机构：
[Lu, Wei; Wen, Xiaoqiao; Wang, Yongliang] Air Force Early Warning Acad, Wuhan 430019, Hubei, Peoples R China.;[Peng, Shixin] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.;[Zhong, Liang] China Univ Geosci, Dept Commun Syst, Wuhan 430074, Hubei, Peoples R China.
通讯机构：
[Lu, Wei] A;Air Force Early Warning Acad, Wuhan 430019, Hubei, Peoples R China.
期刊：
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING,2018年2018(1):1-12 ISSN：1687-1472
通讯作者：
Lu, Wei
作者机构：
[Lu, Wei; Fang, Qiqing; Wang, Yongliang] Air Force Early Warning Acad, Wuhan, Hubei, Peoples R China.;[Peng, Shixin] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构：
[Lu, Wei] A;Air Force Early Warning Acad, Wuhan, Hubei, Peoples R China.
摘要：
Downlink channel state information (CSI) is critical in a frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system. We exploit the reciprocity between uplink and downlink channels in angular domain and diagnose the supports of downlink channel from the estimated uplink channel. While the basis mismatch effects will damage the sparsity level and the path angle deviations between uplink and downlink transmission paths will induce differences in channel supports, a downlink support diagnosis algorithm based on the DBSCAN (density-based spatial clustering of applications with noise) which is widely used in machine learning is presented. With the diagnosed supports of downlink channel in angular domain, a weighted subspace pursuit (SP) channel estimation algorithm for FDD massive MIMO is proposed. The restricted isometry property (RIP)-based performance analysis for the weighted SP algorithm is given out. Both the analysis and the simulation results show that the proposed downlink channel estimation with diagnosed supports is superior to the standard iteratively reweighted least squares (IRLS) and SP without channel priori or with the assumption of the common supports for uplink and downlink channels in angular domain.
