Partially adaptive generalized sidelobe canceller with prescribed zeros

Linear constraints in adaptive beamformer are often used to control its transfer function. In this paper we utilized these constraints lo reduce computational cost of the adaptive algorithm. For this aim. two types of constraints were proposed, The first one is that all zeros of the transfer function appear as conjugate-complex pairs lying on the unit circle. The second one is that some zeros have prescribed positions and the adaptation is realized by the rest of zeros. Developed constraints are applied to the generalized sidelobe canceller and used to blocking matrix design. Experiments proved that degradation in performance of the partially adaptive algorithm is a little compared to the Tuli adaptive algorithm.