DocumentCode
248898
Title
A novel FIR channel estimation method for land mobile satellite channel
Author
Zilong Zhang ; Xiaodong Xu ; Zhiyong Chen ; Baisheng Du
Author_Institution
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2014
fDate
4-8 Aug. 2014
Firstpage
1004
Lastpage
1009
Abstract
The communication between the satellites and the terminals on the ground can profit from the significant research achievements in the area of terrestrial MIMO technology. In this paper, a novel linear prediction based FIR channel estimator is proposed to estimate the outdated CSI introduced by the long distance between the on-ground terminals and the satellites effectively. The spatial correlation property and the temporal correlation property of the land mobile satellite channel model are investigated firstly. During the process of the channel estimator design, the MMSE criterion is adopted to ensure its feasibility. After that, the minimum of the estimation error MSE is derived and analyzed. Finally, we use some precoding schemes which utilize the estimated CSI to measure the performance of the estimator. The simulation results indicate that the proposed method can estimate the channel accurately and can help improving on both BER performance and achievable rate by linear precoding.
Keywords
MIMO communication; channel estimation; error statistics; precoding; satellite communication; BER performance; FIR channel estimation; estimation error MSE; land mobile satellite channel; linear precoding; linear prediction; on-ground terminals; satellite communication; spatial correlation property; temporal correlation property; terrestrial MIMO technology; Channel estimation; Channel models; Correlation; Finite impulse response filters; Least squares approximations; MIMO; Satellites; Channel estimation; MIMO; MMSE; Outdated CSI; Satellite;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International
Conference_Location
Nicosia
Print_ISBN
978-1-4799-7324-8
Type
conf
DOI
10.1109/IWCMC.2014.6906492
Filename
6906492
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