Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Microwave Mobile Communications
Microwave Mobile Communications
Probability of error in MMSE multiuser detection
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
Spread spectrum access methods for wireless communications
IEEE Communications Magazine
Wireless Personal Communications: An International Journal
Intersymbol decorrelating detector for asynchronous CDMA networks with multipath
EURASIP Journal on Wireless Communications and Networking
Journal of VLSI Signal Processing Systems
Blind user detection and delay acquisition in doubly-dispersive DS/CDMA fading channels
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Multipath delay acquisition in asynchronous doubly-selective DS/CDMA fading channels
IEEE Communications Letters
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The problem of joint multiuser detection and channel estimation in frequency-selective Rayleigh fading CDMA channels is considered. First the optimal multiuser detector for such channels is derived, which is seen to have a computational complexity exponential in the product of the number of users and the length of the transmitted data sequence. Two suboptimal detectors are then developed and analyzed, both of which employ decorrelating filters at the front-ends to eliminate the multiple-access interference and the multipath interference. The symbol-by-symbol detector uses a Kalman filter and decision feedback to track the fading channel for diversity combining. The per-survivor sequence detector is in the form of the Viterbi algorithm with the trellis updates being computed by a bank of Kalman filters in the per-survivor fashion. Both suboptimal detectors require the knowledge of all waveforms of all users in the channel and the channel fading model parameters. Adaptive versions of these suboptimal detectors that require only the knowledge of the waveform of the user of interest are then developed. The adaptive receivers employ recursive-least-squares (RLS) minimum-mean-square-error (MMSE) filters at the front-end to mitigate the interference, and use a bank of linear predictors to track the fading channels. It is shown that the front-end RLS-MMSE filters can be implemented using systolic arrays to exploit massively parallel signal processing computation, and to achieve energy efficiency. Finally, the performance of the suboptimal detectors and their adaptive versions are assessed by simulations.