Iterative joint symbol detection and channel estimation for DS/CDMA via the SAGE algorithm

In this paper we present a method of tractable complexity for joint data detection and channel estimation of DS/CDMA signals. The scheme results from an application of the SAGE algorithm. Monte Carlo simulations of a synchronous scenario show that the method is near-far resistant and that it is robust against estimation errors of the channel parameters. Moreover, very short training sequences are required for the scheme to converge. Simulation results further demonstrate that a better performance is obtained when the users' bit sequences are cyclically updated in the order of increasing strength of the users' signals at the output of the whitening filter in the receiver.