Optimal array signal processing in unknown noise environments via parametric approaches

Under the assumption that noise correlation is spatially limited, using two separated arrays, the authors propose a new parametric approach for consistent directions-of-arrival estimations in unknown noise environments. The theoretical performance analysis of the proposed DOA estimations is presented. With the use of the theoretical performance, the best weighting matrices of the parametric criteria have been derived. More significantly, it has been shown that within the best weighted criteria, using canonical decomposition, one can achieve optimal performance among a large set of eigendecompositions