A RECURSIVE MODIFIED GRAM-SCHMIDT ALGORITHM-BASED ADAPTIVE BEAMFORMER

In this paper, we present an adaptive beamformer based on recursive mo dified Gram-Schmidt (RMGS) algorithm. The beamformer has a highly modu lar structure, exhibits good numerical properties and is especially su itable for fixed point arithmetic and VLSI implementation. The error f eedback form of RMGS algorithm improves the numerical accuracy of the conventional RMGS algorithm. The spatial smoothing scheme has also bee n implemented in time recursive form using RMGS algorithm to combat co herent jammers. Computer simulations confirm that the proposed beamfor mer has a superior interference rejection capability over existing ada ptive beamformers.