DocumentCode :
676779
Title :
OFDM system scattering channel characteristics analysis and estimation under the scenarios of high-speed railway
Author :
Xin Chen ; Yong Fang
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
fYear :
2013
fDate :
22-25 Oct. 2013
Firstpage :
1
Lastpage :
4
Abstract :
High data rate requirements and reliable performances over fast fading channels are concerned more and more for wireless systems, especially when it comes to high-speed railway. This paper gives a detailed analysis of high moving wireless channel characteristics of non-widesense stationary uncorrelated scattering(Non-WSSUS), including other main influencing factors and time-varying conditions, and establishes the scattering channel model, which describes the approximate operation scenarios of high-speed rail line. Considering the OFDM technology, we propose an OFDM scattering channel system. This work has great potential application values in multimedia data transmission. Finally, in order to verify this model, based on a given OFDM system´s specifications, we use the conventional least square (LS) algorithm to simulate the channel estimation, which extends the research field of the OFDM channel estimation under the environment of high-speed railway.
Keywords :
OFDM modulation; channel estimation; fading channels; least squares approximations; railway communication; OFDM system scattering channel characteristics analysis; channel estimation; fast fading channels; high data rate requirements; high moving wireless channel characteristics; high speed railway; least square algorithm; multimedia data transmission; nonwidesense stationary uncorrelated scattering; wireless systems; Channel estimation; Fading; OFDM; Rail transportation; Receiving antennas; Scattering; Wireless communication; OFDM system; channel characteristics; channel estimation; high-speed railway;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
ISSN :
2159-3442
Print_ISBN :
978-1-4799-2825-5
Type :
conf
DOI :
10.1109/TENCON.2013.6719027
Filename :
6719027
Link To Document :
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