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Statistical analysis of a subspace method for bearing estimation without eigendecomposition

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2 Author(s)
Stoica, P. ; Dept. of Technol., Uppsala Univ., Sweden ; Soderstrom, T.

The paper studies the statistical properties of a subspace-based method for bearing estimation without eigendecomposition (BEWE). The BEWE large-sample variance is derived and shown to be bounded from below by the MUSIC large-sample variance. The drawback of being less accurate than MUSIC is balanced by BEWE's computational advantage. In addition, it is shown that, unlike MUSIC, BEWE can accommodate the case of spatially finitely-correlated sensor noise

Published in:

Radar and Signal Processing, IEE Proceedings F  (Volume:139 ,  Issue: 4 )

Date of Publication:

Aug 1992

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