Broadband signal subspace processing for range estimation

Jeffers, R.; Bell, Kristine L.

doi:10.1109/sam.2002.1191089

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…After some simple algebraic manipulations described in [15], we get (11) with (12) and (13) (14) where is the smallest eigenvalue of matrix . In simulations, a third-order Taylor expansion of will be used.…”

Section: A Bearing Estimationmentioning

confidence: 99%

“…Using [15] and according to (12), the estimate of the vector corresponding to the eigenvector associated to the eigenvalue is the generalized eigenvector of the matrix associated to the eigenvalue [16]. An estimate of can, therefore, be analytically deduced from the estimates by the relation (20) …”

Section: B Range Estimationmentioning

confidence: 99%

“…Weiss and Friedlander [10] reduced the computational cost of bearing-range estimation by replacing the two-dimensional (2-D) minimization of the 2-D MUSIC cost function by a 2-D polynomial rooting (see [11] for the extension of the method to the three-dimensional case). For the broadband sources case, see [12]- [14] and the references therein. In this letter, we introduce a new method for bearing-range estimation.…”

Section: Introductionmentioning

confidence: 99%

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Simple robust bearing-range source's localization with curved wavefronts

Boyer

Férreol

Larzabal

2005

IEEE Signal Process. Lett.

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In array processing, the far-field assumption of planar wavefronts is widely used by direction of arrival (DOA) estimators but not always satisfied. In this letter, we introduce a new method for bearing-range estimation, which extends classical subspace-based bearing estimators to a curved wavefront context. The bearing estimation is provided by a one-dimensional procedure, and ranges are simply analytically deduced from the bearing estimates. The proposed approach is illustrated by the introduction of the music curved wavefront (MCW) algorithm.Index Terms-Curved wavefronts, direct of arrival (DOA) estimation, range estimation, subspace-based methods.

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Section: A Bearing Estimationmentioning

confidence: 99%

Section: B Range Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Simple robust bearing-range source's localization with curved wavefronts

Boyer

Férreol

Larzabal

2005

IEEE Signal Process. Lett.

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“…The beamspace structure in this paper can therefore be used for wideband DOA and range estimation. An elementspace processing structure for nearfield coherent focusing was recently presented in [6,7]. To the best of our knowledge, no previously proposed beamspace processor can achieve wideband focusing in nearfield as well as farfield.…”

Section: Introductionmentioning

confidence: 99%

Range and bearing estimation of wideband sources using an orthogonal beamspace processing structure

Ward

Abhayapala²

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing

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We propose a new method for range and bearing estimation of wideband sources based on a novel beamspace structure. The proposed structure consists of an orthogonal set of beamspace processors that have a frequency-invariant beampattern property, and can be steered easily to any nearfield range while maintaining the frequency-invariance of the spatial response. These properties mean that the proposed structure can perform coherent signal subspace processing for nearfield wideband sources, making it ideal for wideband range and bearing estimation. Performance of the estimator is demonstrated through Monte Carlo simulations.

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