Time-delay estimation in mixtures

Research output: Contribution to journalConference articlepeer-review

Abstract

We address the problem of passive blind estimation of time-delays for several mutually uncorrelated source signals received by a similar number of sensors. The mixtures at the receivers are modeled as unknown linear combinations of differently delayed versions of the source signals. The standard tools used in blind source separation (BSS) for either static or convolutive mixtures are inappropriate for this problem: The former is obviously under-parameterized, while the latter is over-parameterized and poorly suited for accommodating pure fractional delays. Thus, in this paper we propose a hybrid algorithm, which uses a specially parameterized approximate joint diagonalization of spectral matrices to estimate the delays (as well as the unknown mixing coefficients). The joint diagonalization algorithm is an extension of the iterative "AC-DC" algorithm, previously proposed in the context of BSS with static mixtures. We provide analytic expressions for all required steps for the two sensors / two sources case, and demonstrate the performance using simulations results.

Original languageEnglish
Pages (from-to)237-240
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
StatePublished - 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 6 Apr 200310 Apr 2003

Fingerprint

Dive into the research topics of 'Time-delay estimation in mixtures'. Together they form a unique fingerprint.

Cite this