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
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