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Near optimal frequency/Angle of arrival estimates based on maximum entropy spectral techniques

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1 Author(s)
Lang, Stephen W. ; Massachusetts Institute of Technology, Cambridge, MA

The problem of estimating the parameters of sinusoids corrupted by additive noise arises both in time series analysis and array processing. The performance of a certain type of maximum entropy spectral estimator based on a modified covariance method of linear prediction has been studied analytically in the high signal-to-noise region. The peak positions in the spectral estimate have been shown to provide low bias estimates which approach the Cramer-Rao bound on variance. The frequency/ angle of arrival estimates obtained in such a manner can be used to form nearly efficient estimates of the component amplitudes by a linear least squares fit.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.  (Volume:5 )

Date of Conference:

Apr 1980