Nonlinear approaches for narrowband interference suppression in DS spread spectrum systems

Abstract In this paper, a new nonlinear processing algorithm for the suppression of a narrowband interference in direct sequence spread spectrum systems is introduced. The proposed algorithm has an advantage in that the unknown interference parameters are accurately identified by processing data in a block-by-block basis via the well established signal subspace techniques. The performance of a receiver that employs such an interference suppression algorithm is evaluated in terms of the signal-to-noise ratio (SNR) improvement. Comparisons to the existing nonlinear methods are also presented.

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