Efficient Sampling of Electromagnetic Fields via the Adaptive Cross Approximation

Abstract

The adaptive cross approximation method is applied to the problem of efficiently sampling an electromagnetic field across two dimensions. The algorithm uses previously collected samples to determine which field samples to take next and reduces the number of samples required to accurately represent the field. In this way the field may be sampled faster than it would have been if it had been raster scanned. This is achieved without significant changes to the sensor hardware.