Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Lessons in digital estimation theory
Lessons in digital estimation theory
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
Overview of wireless personal communications
IEEE Communications Magazine
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A direct sequence (DS) spread spectrum code division multiple access (CDMA) communication systemis considered where several users transmit data symbolsover different multipath channels. The main objective of this work is theproposal of a sequential algorithm for joint parameter estimation and multiuser data detection. The computationally prohibitive maximization of the log-likelihood function is replaced by a sequential scheme using the multistage detector for recovering the data symbols and the expectation-maximization algorithm for estimating the channel parameters. The performance of the resulting multiuser receiver is evaluated via Monte Carlo simulations using both synthetic as well as measured channel impulse responses. A comparison of the performance with analytical expressions for the single-user single-path case shows that the proposed system is capable of eliminating thenear-far effect existing in conventional DS/CDMA systems.