Academic
Publications
The generalized correlation method for estimation of time delay

The generalized correlation method for estimation of time delay,10.1109/TASSP.1976.1162830,IEEE Transactions on Acoustics, Speech, and Signal Processi

The generalized correlation method for estimation of time delay   (Citations: 1122)
BibTex | RIS | RefWorks Download
A maximum likelihood (ML) estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise. This ML estimator can be realized as a pair of receiver prefilters followed by a cross correlator. The time argument at which the correlator achieves a maximum is the delay estimate. The ML estimator is compared with several other proposed processors of similar form. Under certain conditions the ML estimator is shown to be identical to one proposed by Hannan and Thomson [10] and MacDonald and Schultheiss [21]. Qualitatively, the role of the prefilters is to accentuate the signal passed to the correlator at frequencies for which the signal-to-noise (S/N) ratio is highest and, simultaneously, to suppress the noise power. The same type of prefiltering is provided by the generalized Eckart filter, which maximizes the S/N ratio of the correlator output. For low S/N ratio, the ML estimator is shown to be equivalent to Eckart prefiltering.
Journal: IEEE Transactions on Acoustics, Speech, and Signal Processing , vol. 24, no. 4, pp. 320-327, 1976
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
    • ...Typically, systems for single and multiple source localization are based on the estimations of the TDOA at multiple microphone pairs, which are generally obtained through the Generalized Cross Correlation PHase Transform (GCC-PHAT) [4], also known as Crosspower-Spectrum...
    • ...• ThetheoreticaldiscussiononGSCTiscompletedbyananalytical comparison with the generalized cross correlation with PHAse Transform (GCC-PHAT) [4] in Section VII...
    • ...One of the most common coherence measure is the Generalized CrossCorrelation(GCC)introducedbyKnappandCarterin[4]...

    Francesco Nestaet al. Generalized State Coherence Transform for Multidimensional TDOA Estima...

    • ...Among the different synchrony measures, the generalized cross-correlation (GCC) [6] is the most popular one...
    • ...Alternative synchrony measures known from the literature on pitch and TDOA estimation include the GCC function [6], or the AMSF [9]...
    • ...In the following results, the TDOA estimation performance of the ICA-based approaches is compared against the performance of the GCC-PHAT method [6]...

    Anthony Lombardet al. TDOA estimation for multiple sound sources in noisy and reverberant en...

    • ...Following gain calibration, the appropriate delay for each microphone , denoted as , can be determined by finding the time difference of arrival (TDOA) with respect to the reference channel, which corresponds to the peak in generalized cross correlation (GCC) function [14]...
    • ...The PHAT weighting has been shown to emphasize the peak in the GCC seen at the time lag corresponding to the true source location, and de-emphasize those caused by reverberation and noise [14]...

    Ivan Himawanet al. Clustered Blind Beamforming From Ad-Hoc Microphone Arrays

    • ...A classical method is to estimate the TOA from the timing of the peak of the cross-correlation (CC) between the transmitted and received signals, [2]...

    Ciprian R. Comsaet al. Source localization using time difference of arrival within a sparse r...

    • ...In such multipath conditions an acoustic source is being mirrored into multiple image sources which sum up their contributions and make TDOA estimation a hard task [2]...
    • ...Only the cross-correlations between RIRs at pairwise selected microphones can be estimated in practice by means of the Generalized Cross Correlation-Phase Transform (GCC-PHAT) [10]...

    Piergiorgio Svaizeret al. Use of reflectedwavefronts for acoustic source localization with a lin...

Sort by: