Title :
A comparison of the eigenvector weighting and Gram-Schmidt adaptive antenna techniques
Author :
Jenkins, R.W. ; Moreland, K.W.
Author_Institution :
Communications Res. Centre, Ottawa, Ont.
fDate :
4/1/1993 12:00:00 AM
Abstract :
Eigenvector and Gram-Schmidt weighting separate desired signals from interference without a priori information. For two signals and similar element patterns, eigenvector performance varies between Gram-Schmidt power inversion and perfect signal separation, depending on signal direction and array geometry. For nearly equal input powers, Gram-Schmidt always fails but eigenvector weighting often succeeds
Keywords :
antenna phased arrays; antenna theory; eigenvalues and eigenfunctions; interference (signal); interference suppression; signal detection; Gram-Schmidt adaptive antenna; array geometry; computer modelling; eigenvector weighting; interference; power inversion; signal detection; signal direction; signal separation; Adaptive arrays; Baseband; Constraint optimization; Covariance matrix; Distributed computing; Geometry; Interference; Interference cancellation; Interference constraints; Lagrangian functions; Military computing; Minimization methods; Noise reduction; Sensor fusion; Source separation; Systems engineering and theory; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on