DocumentCode :
606027
Title :
A probabilistic approach to time delay estimation
Author :
Yihan Gao
Author_Institution :
Inst. for Interdiscipl. Inf. Sci., Tsinghua Univ., Beijing, China
fYear :
2012
fDate :
23-25 Oct. 2012
Firstpage :
617
Lastpage :
620
Abstract :
Time delay estimation is a very general problem with wide range of applications. When noisy repetitive signals are observed, the noise cancellation is achieved by averaging perfectly aligned signals. A time delay estimator is developed for determining time delay between signals received on different trials in the presence of uncorrelated noise. The estimator is based on a probabilistic generative model for delayed signals, and tries to find the delay and the source signal simultaneously so that maximum likelihood is achieved. An iterative method based on the Expectation-Maximization algorithm is used for finding maximum likelihood estimate of parameters. The estimator has been tested on three types of synthetic signals. The result shows that it can tolerate 5 to 10dB more noise while achieving the same performance as cross-correlation estimator.
Keywords :
expectation-maximisation algorithm; signal processing; cross-correlation estimator; expectation-maximization algorithm; maximum likelihood; noisy repetitive signals; probabilistic approach; probabilistic generative model; synthetic signals; time delay estimator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-0876-2
Type :
conf
Filename :
6528707
Link To Document :
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