DocumentCode :
417895
Title :
A low complexity semi-blind channel identification and source recovery method for transmission systems with guard intervals
Author :
Manton, Jonathan H. ; Pham, Duong H.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia
Volume :
4
fYear :
2004
fDate :
17-21 May 2004
Abstract :
A semi-blind channel identification method is proposed for block transmission systems with guard intervals. Usually, block transmission systems append a sequence of L-1 zeros (where L is an upper bound on the channel length), called a guard interval, to each block before transmitting the blocks so as to prevent interblock interference. The paper shows that by replacing the L-1 zeros between each block with specially chosen sequences of L known symbols, a penalty of just one extra symbol per block, it is possible to determine directly the channel coefficients from L consecutively received blocks. For non-time-varying channels, the scheme is equivalent to transmitting a training sequence every L blocks, and hence it can be considered as a way of distributing a training sequence over L blocks. The benefit of the proposed method is twofold. Firstly, due to its distributed nature, it outperforms the training sequence method when the channel varies with time. Secondly, it has a lower latency delay than the traditional training sequence based method, yet achieves the same or better performance. Also, the proposed method retains all the advantages of guard intervals.
Keywords :
channel estimation; computational complexity; interference (signal); interference suppression; multipath channels; block transmission systems; channel estimation; computational complexity; distributed training sequence; guard intervals; interblock interference; multipath transmission; semi-blind channel identification; source recovery; Australia Council; Bandwidth; Deconvolution; Delay; GSM; Interference; Mobile communication; OFDM; Upper bound; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326969
Filename :
1326969
Link To Document :
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