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Methods for Noise Reduction in Far-Field Patterns Obtained From Cylindrical Near-Field Antenna Measurements

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2 Author(s)
F. J. Cano-Facila ; ETSI Telecomunicación, Technical University of Madrid (UPM), Madrid, Spain ; M. Sierra-Castaner

Two different methods to reduce the noise power in the far-field pattern of an antenna as measured in cylindrical near-field (CNF) are proposed. Both methods are based on the same principle: the data recorded in the CNF measurement, assumed to be corrupted by white Gaussian and space-stationary noise, are transformed into a new domain where it is possible to filter out a portion of noise. Those filtered data are then used to calculate a far-field pattern with less noise power than that one obtained from the measured data without applying any filtering. Statistical analyses are carried out to deduce the expressions of the signal-to-noise ratio improvement achieved with each method. Although the idea of the two alternatives is the same, there are important differences between them. The first one applies a modal filtering, requires an oversampling and improves the far-field pattern in all directions. The second method employs a spatial filtering on the antenna plane, does not require oversampling and the far-field pattern is only improved in the forward hemisphere. Several examples are presented using both simulated and measured near-field data to verify the effectiveness of the methods.

Published in:

IEEE Transactions on Antennas and Propagation  (Volume:60 ,  Issue: 12 )