Title :
Spectral Bias in Adaptive Beamforming With Narrowband Interference
Author :
Jeffs, Brian D. ; Warnick, Karl F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT
fDate :
4/1/2009 12:00:00 AM
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 ldquospectral scoopingrdquo 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.
Keywords :
array signal processing; interference (signal); PSD estimation bias effect; adaptive beamforming; adaptive canceling arrays; beamformer weights; interference frequency; narrowband interference; radio astronomy; spectral bias; spectral scooping; Adaptive arrays; interference suppression; radio astronomy; spectral analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2008.2011841