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An improved LMS adaptive algorithm for narrowband interference suppression in direct sequence spread spectrum

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2 Author(s)
P. Kalidas ; Centre for Dev. of Telematics, Bangalore ; K. M. M. Prabhu

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

Published in:

IEEE Transactions on Aerospace and Electronic Systems  (Volume:31 ,  Issue: 3 )