Robust direction-of-arrival estimation in non-Gaussian noise

Date

1998-05

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Source Title

IEEE Transactions on Signal Processing

Print ISSN

1053-587X

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Institute of Electrical and Electronics Engineers

Volume

46

Issue

5

Pages

1443 - 1451

Language

English

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Abstract

In this correspondence, a nonlinearly weighted least-squares method is developed for robust modeling of sensor array data. Weighting functions for various observation noise scenarios are determined using maximum likelihood estimation theory. Computational complexity of the new method is comparable with the standard least-squares estimation procedures. Simulation examples of direction-of-arrival estimation are presented.

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