DocumentCode :
3120627
Title :
A blind symbol synchronization algorithm using adaptive equalizers
Author :
Moazzami, Farzad ; Cole-Rhodes, Arlene
Author_Institution :
Dept. of Electr. & Comput. Eng., Morgan State Univ., Baltimore, MD, USA
fYear :
2011
fDate :
23-25 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper the problem of synchronization of data blocks between the transmitter and receiver is discussed, and a solution is described for blind synchronization by using a blind channel estimator. In earlier work, a blind wideband channel estimation algorithm for multipath channels was introduced, which is based on the second order statistics of the received signals. For that blind equalization and channel estimation method, a blind synchronization algorithm was needed. This paper describes a windowing method, which uses the estimated channel taps to calculate the delay between transmitter and the receiver unit. The channel vector is determined, and the significant values of the channel entries are located to determine the relative shift between the input and output. This is then used to provide synchronization at the receiver. Simulation results show the effectiveness and accuracy of the proposed synchronization algorithm.
Keywords :
MIMO communication; Rayleigh channels; adaptive equalisers; channel estimation; higher order statistics; multipath channels; synchronisation; SIMO system; adaptive equalizers; blind channel estimator; blind symbol synchronization algorithm; blind wideband channel estimation algorithm; channel vector; data block synchronisation; multipath Rayleigh fading channel; second order statistics; transmitter; windowing method; Channel estimation; Equalizers; Blind symbol synchronization; block transmission; channel estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems (CISS), 2011 45th Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-9846-8
Electronic_ISBN :
978-1-4244-9847-5
Type :
conf
DOI :
10.1109/CISS.2011.5766204
Filename :
5766204
Link To Document :
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