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AN OPTIMAL PRIOR KNOWLEDGE-BASED DOA ESTIMATION METHOD

Abstract : In some applications involving line spectra or direction of arrival (DOA) estimation, we may have a priori information which could consist of known frequencies in Magnetoencephalography (MEG) or mechanical signals, or of known DOA's in a RADAR urban sce- nario. With this fact in mind we propose an optimal method for array processing that exploits the information of the known DOA's for es- timating the unknown DOA's as accurately as possible. This new Prior-knowLEDGE (PLEDGE) technique is based on the method of direction estimation (MODE) approach. To show the benefits of incorporating prior-knowledge we also present the corresponding stochastic Crame ́r-Rao Bound (CRB). Finally, we use PLEDGE for estimating frequencies in the current spectrum of an induction motor to perform the diagnosis on rotor bars.
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https://hal.archives-ouvertes.fr/hal-00456900
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Submitted on : Monday, February 15, 2010 - 11:02:09 PM
Last modification on : Sunday, June 26, 2022 - 11:51:27 AM
Long-term archiving on: : Friday, June 18, 2010 - 8:59:30 PM

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  • HAL Id : hal-00456900, version 1

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Guillaume Bouleux, Petre Stoica, Remy Boyer. AN OPTIMAL PRIOR KNOWLEDGE-BASED DOA ESTIMATION METHOD. 17th Europeen Signal Processing Conference, EUSIPCO, Aug 2009, Glasgow, United Kingdom. pp.117. ⟨hal-00456900⟩

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