ARRAY SELF-CALIBRATIONUSING SAGE ALGORITHM

The perfonnance of most existing array processing al­ gorithms relies heavily on the precise knowledge of array manifold, which is decided by individual sensor character­ istics and array configuration. A major challenge for self­ calibration techniques is the increased computational bur­ den due to additional perturbation parameters. In this con­ tribution, a novel procedure for array self-calibration is pre­ sented. We apply the well known numerical method, the Space Alternating Generalized EM algorithm (SAGE), to simplify the multi-dimensional search procedure required for finding maximum likelihood (ML) estimates. Simula­ tion shows that the proposed algorithm outperfonns existing methods that are based on the small perturbation assump­ tion. Furthennore, the proposed algorithm remain robust in critical scenarios including large sensor position errors and closely located signals.