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Conference papers

Direction finding for wideband signals using fast coherent signal subspace

M. Frikel 1, 2, 3 S. Bourennane 3
1 LAC - Laboratoire d'automatique de Caen
2 ISR - Institute for System and Robotics [Lisbonne]
3 SDEM - Systèmes Dynamiques Energétiques et Mécaniques
Abstract : A method to estimate the set of bias vectors spanning the signal subspace without eigendecomposition is described. Each basis vector can be determined by the Lanczos algorithm. The signal subspace estimates at each frequency are transformed by focusing matrices such that the coherent signal subspace will be constructed for all analysis bands. The performance of the proposed method is shown to be almost the same as that of the classical eigendecomposition method.
Keywords : Direction of arrival estimation Frequency estimation Narrowband Vectors Signal analysis Sensor arrays Wideband Additive noise Array signal processing Radar Matrix Algebra
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Conference papers
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https://hal-normandie-univ.archives-ouvertes.fr/hal-01821466
Contributor : Miloud Frikel Connect in order to contact the contributor
Submitted on : Friday, June 22, 2018 - 2:50:43 PM
Last modification on : Saturday, March 26, 2022 - 3:50:40 AM

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COMUE-NORMANDIE | CNRS | ENSICAEN | UNICAEN | LAC | LAC-IDO | UNIV-CORSE

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M. Frikel, S. Bourennane. Direction finding for wideband signals using fast coherent signal subspace. 1996 IEEE Digital Signal Processing Workshop Proceedings, Sep 1996, Loen, Norway. pp.335-338, ⟨10.1109/DSPWS.1996.555529⟩. ⟨hal-01821466⟩

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