Iterative joint channel estimation and successive interference cancellation using a SISO-SAGE algorithm for coded CDMA
Authors:
- B. HuBHB. Hu
- A. KocianA. Kocian
- R. PitonRPR. Piton
- A. HviidAHA. Hviid
- B.H. FleuryBFB.H. Fleury
- L.K. RasmussenLRL.K. Rasmussen
- 31 March 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 622-626
Abstract
In this paper we propose an extension of the space alternating generalized expectation maximization (SAGE) algorithm that accepts as input and provides as output soft information. This so-called soft-input soft-output (SISO) SAGE algorithm is applied to joint successive interference cancellation and channel estimation and combined with SISO single-user decoders in an iterative CDMA receiver. Monte Carlo simulations in flat Rayleigh fading channel show that this receiver is rob ust against channel estimation errors and can support a high system load. I. I NTRODUCTIONKeywords
This publication has 9 references indexed in Scilit:
- Collaborative decoding using turbo codes2004
- EM-Based Joint Data Detection and Channel Estimation of DS-CDMA SignalsIEEE Transactions on Communications, 2003
- Iterative joint detection, decoding, and channel estimation for dual antenna arrays in frequency selective fading2003
- Near Shannon limit error-correcting coding and decoding: Turbo-codes. 12002
- Iterative multiuser joint decoding: unified framework and asymptotic analysisIEEE Transactions on Information Theory, 2002
- MAP symbol estimation on frequency-flat Rayleigh fading channels via a Bayesian EM algorithmIEEE Transactions on Communications, 2001
- Successive interference cancellation with SISO decoding and EM channel estimationIEEE Journal on Selected Areas in Communications, 2001
- Iterative detection in code‐division multiple‐access with error control codingEuropean Transactions on Telecommunications, 1998
- Space-alternating generalized expectation-maximization algorithmIEEE Transactions on Signal Processing, 1994