A Measurement System for the Complex Far-Field of Physically Large Antenna Arrays Under Noisy Conditions Utilizing the Equivalent Electric Current Method
IEEE Transactions on Antennas and Propagation
Precipitation in the form of snow or rain could severely degrade the performance of large antenna arrays, in particular if knowledge about the beam shape and pointing direction in absolute numbers is necessary. In this paper, a method of estimating the far-field of each individual antenna element using the equivalent electric current approach is presented. Both a least squares estimator and a Kalman filter was used to solve the resulting system of equation and their performance was compared.
... ce was compared. Simulation results shows that the estimated far-field for one antenna element is very accurate if there is no noise on the signal. During noisier conditions the Kalman filter gives less noisy results while the systematic errors are slightly larger compared to the least squares estimator. In 2008, he was appointed Associate Professor at Luleå University of Technology. His research interests are in computational electromagnetics, in particular, the use of the PEEC method for realistic electromagnetic modeling. Staffan Backén (S'10) received the M.Sc. degree in electrical engineering from Luleå University of Technology, Luleå, Sweden, in 2004 and the Licentiate degree in electrical engineering from Luleå University of Technology, Luleå, in 2007, where he is currently working toward the Ph.D. degree. His research focus is on GNSS array processing and receiver architecture.