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Comments on “Theory and application of covariance matrixtapers for robust adaptive beamforming” [and reply]
Authors:Zatman   M. Guerci   J.R.
Affiliation:Lincoln Lab., MIT, Lexington, MA;
Abstract:For original paper see Guerci (IEEE Trans. Signal Processing, vol.47, p.977-85, 1999 April). Covariance matrix tapers and derivative constraints in the directions of jammers have been proposed for broadening the null in adaptive processing, thereby improving the algorithms' robustness. In this correspondence, the relationship between these two methods is explored. A reply is given in which Guerci makes some further points
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