DSP Implementation of Time Delay Estimation Based on Bufferable Average Square Difference Matrix

Time delay estimation is a fundamental subject in the field of source localization. Although many accurate approaches were proposed to estimate time delay, only some of them are implementable. We propose two approaches based on average square difference to estimate time delay in adverse conditions....

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Bibliographic Details
Published in2010 Uksim 12th International Conference on Computer Modelling and Simulation pp. 227 - 232
Main Authors Soltanmohammadi, Erfan, Dastgerdi, Seyed, Rezaie, Amir Hossein
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2010
Subjects
ASDF
Computational modeling
Computer simulation
Delay effects
Delay estimation
Digital signal processing
DSP implementation
Hardware
regression
Sensor arrays
Signal processing
source localization
time delay estimation
Variable speed drives
Working environment noise
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ISBN1424466148
9781424466146
DOI10.1109/UKSIM.2010.49

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Summary:Time delay estimation is a fundamental subject in the field of source localization. Although many accurate approaches were proposed to estimate time delay, only some of them are implementable. We propose two approaches based on average square difference to estimate time delay in adverse conditions. In this way we estimate time delay between two sensors signals. In these approaches a bufferable matrix is constructed that could be used in many source localization issues. Using this matrix we provide a feasible hardware structure with low order of computation for implementation of the proposed approaches on digital signal processors based embedded systems.
ISBN:1424466148
9781424466146
DOI:10.1109/UKSIM.2010.49