Considerations on a scanned adaptive superresolution array

The behavior of a scanned Howells-Applebaum (H-A) adaptive superresolution array (SRA) in a steady-state after convergence is derived analytically. The steering signals are scanned (swept) with time in order to observe the signal source locations. However, the SRA performance deteriorates seriously when scanning is fast. First, we study the causes of degradation of the scanned SRA performance at a high scanning rate. Second, we derive the conditions for the low pass filter in an H-A loop that gives a better SRA performance at a certain high scanning rate. Finally, we propose a new filter configuration in the H-A loop which permits faster scanning with less degradation.