Adaptive filter theory
Multiuser Detection
Performance analysis of PIC-CDMA systems
ICCS '02 Proceedings of the The 8th International Conference on Communication Systems - Volume 02
Cholesky factorization-based adaptive BLAST DFE for wideband MIMO channels
EURASIP Journal on Applied Signal Processing
Steady-state analysis of the adaptive successive interferencecanceler for DS/CDMA signals
IEEE Transactions on Signal Processing
Adaptive MIMO decision feedback equalization for receivers with time-varying channels
IEEE Transactions on Signal Processing
IEEE Journal on Selected Areas in Communications
Analysis of a simple successive interference cancellation scheme in a DS/CDMA system
IEEE Journal on Selected Areas in Communications
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In this paper, we propose two new adaptive equalization algorithms for direct sequence code division multiple access (DS-CDMA) systems operating over time-varying and frequency selective channels. The equalization schemes consist of a number of serially connected stages and detect users in an ordered manner, applying a decision feedback equalizer (DFE) at each stage. Both the equalizer filters and the order in which the users are extracted are updated in a recursive least squares (RLS) manner, efficiently realized through time- and order-update recursions. V-BLAST detection ordering is implemented, that is, the stronger signal is extracted first so that the weaker users can be more easily detected. The spreading codes are unavailable at the receiver of the first scheme, whereas the second algorithm employs the RAKE receiver concept, incorporating knowledge of the spreading sequences to offer performance improvement. The bit error rate (BER) performance of the equalizers is evaluated via simulations, in both mild and severe near-far environments. Their superiority over existing techniques is demonstrated.