Spectral bias in adaptive beamforming with narrowband interference

Authors:
Brian D. Jeffs;Karl F. Warnick
Affiliations:
Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT;Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT
Venue:
IEEE Transactions on Signal Processing
Year:
2009

Citing 6
Cited 0

Time series: data analysis and theory

Time series: data analysis and theory
Bias Corrected PSD Estimation for an Adaptive Array With Moving Interference

IEEE Transactions on Signal Processing - Part II
Auxiliary antenna-assisted interference mitigation for radio astronomy arrays

IEEE Transactions on Signal Processing
Performance analysis of spatial filtering of RF interference in radio astronomy

IEEE Transactions on Signal Processing
Self-Calibration for the LOFAR Radio Astronomical Array

IEEE Transactions on Signal Processing
Radio-astronomical imaging in the presence of strong radio interference

IEEE Transactions on Information Theory

Quantified Score

Hi-index	35.69

Visualization

Abstract

It is shown that adaptive canceling arrays which track interference by regular updates of the beamformer weights can introduce a spectral null at the excised interference frequency. This PSD estimation bias effect we call "spectral scooping" is most prominent for narrowband interference (i.e., occupying only a few spectral bins at the desired PSD estimation resolution). Scooping is problematic in radio astronomy where bias in either the weak signal or noise floor spectra can corrupt the observation. The mathematical basis for scooping is derived, and an algorithm to eliminate it is proposed. Both simulated and real data experiments demonstrate the effectiveness of the proposed algorithm.