A solution space approach to achieving partially adaptive arrays

Linearly-constrained adaptive arrays have wide application for interference rejection. The authors introduce a method of adding constraints so as to reduce the total number of degrees of freedom available to the processor. For the case of arrays containing a large number of elements, this is a particularly useful approach to providing reduced computational load while preserving the interference rejection capabilities of the array. These additional constraints are chosen to efficiently constrain the adaptive weight vector solution space. The resulting reduced complexity adaptive array is shown to have remarkably good sidelobe control over a wide range of interference conditions