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- Pascal Chevalier, Laurent Albera, Anne Ferréol, Pierre Comon
- IEEE Transactions on Signal Processing
- 2005

For about two decades, many fourth order (FO) array processing methods have been developed for both direction finding and blind identification of non-Gaussian signals. One of the main interests in using FO cumulants only instead of second-order (SO) ones in array processing applications relies on the increase of both the effective aperture and the number of… (More)

- Pascal Chevalier, Anne Ferréol
- IEEE Trans. Signal Processing
- 1999

- Anne Ferréol, Laurent Albera, Pascal Chevalier
- IEEE Transactions on Signal Processing
- 2003

For about two decades, numerous methods have been developed to blindly identify overdetermined (P/spl les/N) mixtures of P statistically independent narrowband (NB) sources received by an array of N sensors. These methods exploit the information contained in the second-order (SO), the fourth-order (FO) or both the SO and FO statistics of the data. However,… (More)

- Anne Ferréol, Pascal Chevalier
- IEEE Trans. Signal Processing
- 2000

- Pascal Chevalier, Anne Ferréol, Laurent Albera
- IEEE Trans. Signal Processing
- 2006

The problem of Blind Identification of linear mixtures of independent random processes is known to be related to the diagonalization of some tensors. This problem is posed here in terms of a non conventional joint approximate diagonalization of several matrices. In fact, a congruent transform is applied to each of these matrices , the left transform being… (More)

- Anne Ferréol, Pascal Chevalier, Laurent Albera
- IEEE Transactions on Signal Processing
- 2004

Most of the second-order (SO) and higher order (HO) blind source separation (BSS) methods developed this last decade aim at blindly separating statistically independent sources that are assumed zero-mean, stationary, and ergodic. Nevertheless, in many situations of practical interest, such as in radiocommunications contexts, the sources are nonstationary… (More)

- Anne Ferréol, Pascal Larzabal, Mats Viberg
- IEEE Transactions on Signal Processing
- 2006

This paper provides a new analytic expression of the bias and RMS error (root mean square) error of the estimated direction of arrival (DOA) in the presence of modeling errors. In , first-order approximations of the RMS error are derived, which are accurate for small enough perturbations. However, the previously available expressions are not able to capture… (More)

Static linear mixtures with more sources than sensors are considered. The Blind Source Identification (BSI) of under-determined mixtures problem is addressed by taking advantage of Sixth Order (SixO) statistics and the Virtual Array (VA) concept. It is shown how SixO cumulants can be used to increase the effective aperture of an arbitrary antenna array, and… (More)

- Anne Ferréol, Pascal Larzabal, Mats Viberg
- IEEE Transactions on Signal Processing
- 2010

This paper considers the statistical performance of the MUSIC method under the condition that two closely spaced sources impinging on an array of sensors are effectively resolved, i.e., the spectrum exhibits two peaks in the neighborhood of the true directions-of-arrival (DOA). The MUSIC algorithm is known to have an infinite resolution power in theory.… (More)