Channel estimation for 3D MIMO system based on LOS/NLOS identification. Issue 7 (1st April 2019)

• Record Type: Journal Article
• Authors: Xiang, Minshan; Chang, Yongyu; Zeng, Tianyi
• Is Part Of: IET communications. Volume 13:Issue 7(2019)
• Page Start: 898
• Page End: 904
• Publication Date: 2019-04-01
• Subjects: MIMO communication -- mean square error methods -- discrete Fourier transforms -- channel estimation -- radiowave propagation; LOS/NLOS identification -- 3D MIMO channels -- nonline‐of‐sight channel -- line‐of‐sight channel -- enhanced DFT‐based channel estimation schemes -- three‐dimensional multiple‐input multiple‐output systems -- delay support -- temporal domain -- outdoor propagation environment -- received sounding reference signal -- discrete Fourier transform -- normalised mean squared error -- liner complexity; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2018.5211
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : Channel estimation is one of the most important parts in three‐dimensional multiple‐input multiple‐output (3D MIMO) systems. The characteristics of non‐line‐of‐sight (NLOS) channel and line‐of‐sight (LOS) channel are different in 3D MIMO systems. If the same channel estimation scheme is used in LOS case as NLOS, the performance of estimation will be bad. In outdoor propagation environment, 3D MIMO channels between closely located antennas share the same delay support in temporal domain. With those prior knowledge, in this study, a new channel estimation scheme is proposed. The proposed scheme can be divided into two processes. First, it is needed to identify the received sounding reference signal whether is LOS or NLOS propagation. Then, different enhanced DFT‐based channel estimation schemes are proposed separately according to the identification results. Simulation results verify the proposed algorithm outperforms traditional discrete Fourier transform (DFT)‐based channel estimation. At signal‐to‐noise ratio of 20 dB, the proposed algorithm has 17.7 and 35.7% improvement in NLOS case and LOS case separately in terms of normalised mean squared error compared with traditional DFT‐based channel estimation scheme, and is achieved with additional liner complexity.