DocumentCode :
389978
Title :
An algorithm for iterative decoding and channel estimation of space-time coded FH systems
Author :
Zummo, Salam A. ; Stark, Wayne E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Volume :
2
fYear :
2002
fDate :
7-10 Oct. 2002
Firstpage :
768
Abstract :
This paper proposes an algorithm for joint decoding and channel estimation (JDE) of frequency-hopping (FH) system employing space-time (ST) codes. The channel is modeled as a block fading channel, where the fade is constant during each hop and independent from other hops. The algorithm is based on quantizing the fading process, such as done in Markov fading models. The algorithm is semiblind, where initial estimation of the channel is obtained using orthogonal pilot sequence insertion (OPSI). Unlike existing JDE algorithms, the algorithm exploits soft information from the decoder to improve the channel estimation iteratively. The performance of the algorithm approaches the performance of the system where all signals in the frame are assumed to be known with probability one, i.e. acting as pilots.
Keywords :
Markov processes; channel estimation; fading channels; frequency hop communication; iterative decoding; multipath channels; space-time codes; turbo codes; Markov fading models; block fading channel; channel estimation algorithm; fading quantization; frequency-hopping system; iterative decoding algorithm; joint decoding and channel estimation; multipath fading channels; probability; semiblind algorithm; soft information; space-time coded FH systems; space-time codes; system performance; turbo codes; wireless links; Channel estimation; Computer science; Fading; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; OFDM; Transmitters; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MILCOM 2002. Proceedings
Print_ISBN :
0-7803-7625-0
Type :
conf
DOI :
10.1109/MILCOM.2002.1179570
Filename :
1179570
Link To Document :
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