A time-frequency technique for blind separation and localization of pure delayed sources

Authors:
Dimitri Nion;Bart Vandewoestyne;Siegfried Vanaverbeke;Koen Van Den Abeele;Herbert De Gersem;Lieven De Lathauwer
Affiliations:
K. U. Leuven, Kortrijk, Belgium;K. U. Leuven, Kortrijk, Belgium;K. U. Leuven, Kortrijk, Belgium;K. U. Leuven, Kortrijk, Belgium;K. U. Leuven, Kortrijk, Belgium;K. U. Leuven, Kortrijk, Belgium
Venue:
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Year:
2010

Citing 4
Cited 0

Estimation of time delays between unknown colored signals

Signal Processing
Frequency estimation, phase unwrapping and the nearest lattice point problem

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
A constrained least squares approach to mobile positioning: algorithms and optimality

EURASIP Journal on Applied Signal Processing
An instantaneous formulation of mixtures for blind separation of propagating waves

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we address the problem of overdetermined blind separation and localization of several sources, given that an unknown scaled and delayed version of each source contributes to each sensor recording. The separation is performed in the time-frequency domain via an Alternating Least Squares (ALS) algorithm coupled with a Vandermonde structure enforcing strategy across the frequency mode. The latter allows to update the delays and scaling factors of each source with respect to all sensors, up to the ambiguities inherent to the mixing model. After convergence, a reference sensor can be chosen to remove these ambiguities and the Time Difference of Arrival (TDOA) estimates can be exploited to localize the sources individually.