Title :
A factor graph approach to joint iterative data detection and channel estimation in pilot-assisted IDMA transmissions
Author :
Novak, Clemens ; Matz, Gerald ; Hlawatsch, Franz
Author_Institution :
Inst. of Commun. & Radio-Freq. Eng., Vienna Univ., Vienna
fDate :
March 31 2008-April 4 2008
Abstract :
We consider a pilot-assisted interleave-division multiple access (IDMA) system transmitting over block-fading channels. We describe this system in terms of a factor graph and use the sum-product algorithm to develop a receiver that performs joint data detection and channel estimation. Suitable approximations to the messages passed by the sum-product algorithm yield an implementation with a complexity that scales linearly with the number of users. Simulation results demonstrate large performance gains compared to classical receivers performing separate channel estimation and data detection.
Keywords :
approximation theory; block codes; channel coding; channel estimation; computational complexity; fading channels; graph theory; interleaved codes; iterative methods; multi-access systems; approximation theory; block-fading channel; channel estimation; factor graph approach; joint iterative data detection; pilot-assisted interleave-division multiple access transmission; sum-product algorithm; Binary phase shift keying; Channel coding; Channel estimation; Iterative algorithms; Iterative methods; Niobium; Performance gain; Radio frequency; Sum product algorithm; Transmitters; IDMA; factor graphs; iterative receivers; multiuser detection; sum-product algorithm;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518205