Title :
Efficient Sampling of Electromagnetic Fields via the Adaptive Cross Approximation
Author :
Hislop, Greg ; Hay, Stuart ; Hellicar, Andrew
Author_Institution :
CSIRO ICT Centre, Sydney
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.
Keywords :
approximation theory; electromagnetic fields; microwave imaging; millimetre wave imaging; signal sampling; 2D electromagnetic field; adaptive cross approximation; electromagnetic fields sampling; Compressed sensing; Electromagnetic fields; Frequency; Layout; Microwave imaging; Optical imaging; Optical scattering; Remote sensing; Sampling methods; Sensor arrays; Adaptive cross approximation; compressed sensing; microwave imaging and measurement techniques; remote sensing;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2007.910519