New MIMO-OFDM Channel Estimation Algorithm with Low Complexity

Xu Guo-ping; Zhang Xin; Yang Da-eheng

doi:10.3724/SP.J.1146.2006.01478

Volume 30 Issue 4

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(4): 797-800

Xianzhong XIE, Jia LI, Qian HUANG, Jie CHEN. Optimal Scheme of Resource Allocation for Ultra-reliable and Low-latency in Machine Type Communications Based on Non-orthogonal Multiple Access with Short Block Transmission[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2549-2556. doi: 10.11999/JEIT190128

Citation:

Xu Guo-ping, Zhang Xin, Yang Da-eheng . New MIMO-OFDM Channel Estimation Algorithm with Low Complexity[J]. Journal of Electronics & Information Technology, 2008, 30(4): 797-800. doi: 10.3724/SP.J.1146.2006.01478

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New MIMO-OFDM Channel Estimation Algorithm with Low Complexity

doi: 10.3724/SP.J.1146.2006.01478

Received Date: 2006-09-26
Rev Recd Date: 2007-03-12
Publish Date: 2008-04-19

Abstract

Abstract

Based on the m-sequence，a time-domain channel estimation algorithm for Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is designed. The m-sequence with Cyclic Prefix (CP) is inserted between OFDM symbols in time domain as training sequence. The cross-correlation is calculated between the received sequence with CP removed and the appointed circular shifted m-sequence, which takes reliability of the estimation of channel impulse response on account of the two-valued auto-correlation property of the m-sequence, thereby the channel frequency response can be advisably decided. The results of both theoretical analysis and simulation show that the proposed algorithm possesses an impressive performance with less system overhead and lower computation burden than conventional algorithms.

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References(1)

References

Sampath H, Talwar S, and Tellado J, et al.. A fourthgeneration MIMO-OFDM broadband wirelesss system:design, performance, and field trial results [J].IEEECommun. Magazine.2002, 40(9):143-149[2]Helmut B, Robert W, and Heath J R, et al.. Blind channelidentification and equalization in OFDM-based multiantennasystems [J].IEEE Trans. on Signal Processing.2002, 50(1):96-109[3]Li Y. Simplified channel estimation for OFDM systems withmultiple transmit antennas. IEEE J. Select. Areas Commun.,2002, 1: 67-75.[4]Suh Changho, Hwang Chan-Soo, and Choi Hokyu.Comparative study of time-domain and frequency-domainchannel estimation in MIMO-OFDM systems. 14th IEEEProceedings on Personal, Indoor and Mobile RadioCommunications, Beijing, 2003, 2: 1095-1099.[5]周炯槃, 庞沁华, 续大我等. 通信原理. 北京: 北京邮电大学出版社, 2002: 172.177.Zhou Jiong-pan, Pang Qin-hua, and Xu Da-wo, et al..Communication Principles. Beijing: Beijing University ofPosts and Telecommunications Press, 2002: 172-177.[6]3GPP Technical Report 25.943, V 6.00 - 3rd GenerationPartnership Project, Technical Specification Group RadioAccess Network, Deployment Aspects. 2004.[7]Branka Vucetic and Yuan Jinhong. Space-time Coding.Beijing: China Machine Press, 2004: 170-173.[8]Barhumi I, Leus G, and Moonen M. Optimal training designfor MIMO OFDM systems in mobile wireless channels[J].IEEETrans. on Signal Processing.2003, 51(6):1615-1624

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