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Thinning an array means certain elements in a uniform array are made inactive by terminating them in a matched load in order to produce a low sidelobe taper on the aperture. The active and inactive elements can be dynamically changed using switches in the T/R modules. This paper describes an approach to adaptive nulling that changes the active and inactive elements in an array until nulls appear in...
This paper explains how to adaptively adjust the sidelobe level of a planar array by changing the thinning configuration. The directivity decreases with additional thinning, but the relative sidelobe level also goes down, so there is an overall increase in the signal to interference ratio. To reduce the number of active elements, the same elements are turned off for each thinning configuration.
The method of interval estimation (MIE) provides a strategy for mean squared error (MSE) prediction of algorithm performance at low signal-to-noise ratios (SNR) below estimation threshold where asymptotic predictions fail. MIE interval error probabilities for the Capon algorithm are known and depend on the true data covariance and assumed signal array response. Herein estimation of these error probabilities...
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