Title :
Comments on "Theory and application of covariance matrix tapers for robust adaptive beamforming" [with reply]
Author :
Zatman, Michael ; Guerci, Joseph R.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
fDate :
6/1/2000 12:00:00 AM
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.
Keywords :
adaptive antenna arrays; antenna theory; array signal processing; covariance matrices; interference suppression; jamming; linear antenna arrays; adaptive processing; covariance matrix tapers; derivative constraints; jammers; null broadening; robust adaptive beamforming; robustness; Adaptive arrays; Array signal processing; Covariance matrix; Interference constraints; Jamming; Null value; Production; Robustness; Signal analysis; Vectors;
Journal_Title :
Signal Processing, IEEE Transactions on
