Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Signals & systems (2nd ed.)
Introduction to Digital Signal Processing
Introduction to Digital Signal Processing
Digital Communication: Third Edition
Digital Communication: Third Edition
ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
Unbiased blind adaptive channel identification and equalization
IEEE Transactions on Signal Processing
Adaptive tracking of linear time-variant systems by extended RLSalgorithms
IEEE Transactions on Signal Processing
Nonlinear effects in LMS adaptive equalizers
IEEE Transactions on Signal Processing
Comparative tracking performance of the LMS and RLS algorithms forchirped narrowband signal recovery
IEEE Transactions on Signal Processing
Prediction error method for second-order blind identification
IEEE Transactions on Signal Processing
Rayleigh fading channels in mobile digital communication systems .I. Characterization
IEEE Communications Magazine
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It has previously been shown that a least-mean-square (LMS) decision-feedback filter can mitigate the effect of narrowband interference (L.-M. Li and L. Milstein, 1983). An adaptive implementation of the filter was shown to converge relatively quickly for mild interference. It is shown here, however, that in the case of severe narrowband interference, the LMS decision-feedback equalizer (DFE) requires a very large number of training symbols for convergence, making it unsuitable for some types of communication systems. This paper investigates the introduction of an LMS prediction-error filter (PEF) as a prefilter to the equalizer and demonstrates that it reduces the convergence time of the two-stage system by asmuch as two orders of magnitude. It is also shown that the steady-state bit-error rate (BER) performance of the proposed system is still approximately equal to that attained in steady-state by the LMS DFE-only. Finally, it is shown that the two-stage system can be implemented without the use of training symbols. This two-stage structure lowers the complexity of the overall systemby reducing the number of filter taps that need to be adapted, while incurring a slight loss in the steady-state BER.