In 1990 Vijayan and Poor proposed nonlinear predictive methods for suppressing narrowband interference in spread spectrum (SS) systems with a significant increase in signal-to-noise ratio (SNR) improvement. The main drawback of their adaptive nonlinear filter is its slow convergence rate. A new adaptive least mean squares (LMS) algorithm to increase the slow convergence of their nonlinear adaptive filter is described. Computer simulation results are presented to support the advantages of the new filter.<>
An improved LMS adaptive algorithm for narrowband interference suppression in direct sequence spread spectrum
IEEE Transactions on Aerospace and Electronic Systems ; 31 , 3 ; 1198-1201
1995-07-01
358192 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2018
|An adaptative fuzzy logic enhancer for rejection of narrowband interference in DS-Spread Spectrum
BASE | 1998
|