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An eigenspace-based algorithm for adaptive antenna sidelobe cancellation

By combining the conventional algorithm for adaptive sidelobe cancellation and the eigenspace technique, this paper presents a novel algorithm for adaptive sidelobe cancellation. The weight vector of the novel algorithm is calculated by projecting the weight vector of the conventional algorithm into the interference subspace of the auxiliary channels' correlation matrix. The projection operation reduces the effect of the noise subspace on the weight vector. Compared to the conventional algorithm for adaptive sidelobe cancellation, the novel algorithm has a good cancellation performance and can rapidly converge. Computer simulation and real data processing results show that the algorithm is effective.