Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Probability of error in MMSE multiuser detection
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
Advanced Signal Processing for Wireless Multimedia Communications
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
Performance analysis of non-data aided SBIB receivers for CDMA systems
Signal Processing
Subspace-Based Schemes for NBI and MAI Suppression in DS-CDMA Communications
Wireless Personal Communications: An International Journal
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The application of the minimum-mean-square-error(MMSE) multiuser detection technique to the problem ofsuppressing the digital narrowband interference (NBI) fromspread-spectrum signals is considered. The MMSE multiuser detector can be implemented using a blind adaptive method, which is ideally suited for use in the NBI suppression framework.The optimal linear filter for the recovery of the spread-spectrum signal is derived, and its performance is analyzed in terms of probability of error and signal-to-interferenceratio (SIR). It is shown that the performance of this optimal filteris very close to the situation when there is no narrowband interferencepresent, even at the presense of very strong interference.This application requires the treatment of a single narrowband digitalsignal as a group of related, virtual spread-spectrum signalswith very simple spreading codes.This model gives a special structure tothe matrices appearing in the optimization problem implied by theMMSE criterion, and this structure is exploited herein to developand analyze a practical adaptive algorithm.The major contributionof this paper beyond the previous work in the field of NBI suppressionis the development of this adaptive algorithm that can exploit theadvantages of multiuser detection in suppressing narrowband digitalinterference from spread-spectrum networks.