A factor graph approach to joint iterative data detection and channel estimation in pilot-assisted IDMA transmissions
Clemens Novak, Gerald Matz, Franz Hlawatsch · IEEE International Conference on Acoustics Speech and Signal Processing · 2008
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.