Robust fixed frequency invariant beamformer design subject to norm-bounded errors

A novel robust fixed frequency invariant beamformer (FIB) against arbitrary array manifold errors is proposed, by employing the worst-case performance optimization technique with norm-bounded error matrices. A closed-form solution is provided by finding the minimum generalized eigenvector of a pair of matrices. Design examples show that our proposed design significantly outperforms previously proposed FIBs in terms of both frequency invariant property and sidelobe attenuation in the presence of array manifold errors.