Redundancy averaging with large arrays

Redundancy averaging is a spatial averaging technique that can lead to improved spatial correlation matrix estimates in terms of reduced intersignal coherence and reduced variance, but it has the undesirable characteristic of potentially biasing direction estimates. It is shown that for linear equally spaced arrays, any basis induced in the direction estimates by redundancy averaging vanishes as the number of sensors becomes large